CN102547919B - Frequency sweeping method for mobile terminal, frequency sweeping device for same and baseband chip - Google Patents

Abstract

Disclosed are a frequency sweeping method for a mobile terminal, a frequency sweeping device for the same and a baseband chip. The frequency sweeping method for the mobile terminal includes: receiving signals of frequency points fk; calculating a power sum of sampled points according to the received signals in preset time by taking a preset step length as a unit; acquiring a power value a (n) in a corresponding subdomain a, a power value b (n) in a corresponding subdomain b, a power value c (n) in a corresponding subdomain c and a power value d (n) in a corresponding subdomain d based on the power sum; calculating a ratio R (n) of a minimum of a normalized power norm_a (n) of the a (n) and a normalized power norm_c(n) of the c(n) and a maximum of a normalized power norm_b (n) of the b (n) and a normalized power norm_d (n) of the d (n); and determining n corresponding to the maximum of the R (n) as n', performing gain compensation for normalized power of a (n') or normalized power of c (n'), and obtaining a received signal strength indicator of the frequency points fk. By the aid of the technical scheme, accurate frequency sweeping results can be obtained, time for cell search can be shortened, and power consumption of the mobile terminal is reduced.

Description

The frequency sweeping method of mobile terminal and device, baseband chip

Technical field

The present invention relates to communication technical field, particularly a kind of frequency sweeping method of mobile terminal and device, baseband chip.

Background technology

Mobile communication technology development has formed the mobile communications network of various modes, as second generation mobile communication system (2G, Second Generation) in global communication mobile system (GSM, Global System for Mobile Communication), 3-G (Generation Three mobile communication system) (3G, Third Generation) in Time Division-Synchronous Code Division Multiple Access (TD-SCDMA, Time Division-Synchronous CDMA, CDMA, Code Division Multiple Access), Wideband Code Division Multiple Access (WCDMA) (WCDMA, WidebandCDMA), and Long Term Evolution (LTE in the next generation mobile communication system of TD-SCDMA and WCDMA, Long Term Evolution), with worldwide interoperability for microwave access (WIMAX, WorldwideInteroperability for Microwave Access).

For mobile terminal, after mobile terminal is just started shooting, or measuring time division duplex (TDD, Time Division Duplexing) before community, in order to reduce the time of Cell searching, conventionally can carry out power measurement scanning to the frequency of the community that will search for, i.e. frequency sweep, and adjudicate and whether need carrying out Cell searching on this frequency according to the watt level of this frequency of frequency sweep acquisition; Simultaneously, in order to reduce the time of Cell searching, also need descending sequence of frequency power to carry out frequency sweep acquisition at each frequency, and according to the descending order of frequency sweep result intermediate-frequeney point power, successively frequency Shang community is searched for, until carry out resident (mobile terminal, according to the descending order of frequency power, is searched for behind one or several communities under normal circumstances, will no longer the community at other frequency places be searched for) after searching suitable community.

In prior art, conventionally carry out in the following manner frequency sweep:

The baseband signal receiving at certain frequency is calculated to the average power P (n) of M sampled point according to step-length NStepSize, particularly:

$P\left(n\right)=\frac{1}{M}*\underset{i=n*\mathrm{NStepSize}}{\overset{M+n*\mathrm{NStepSize}}{\mathrm{\Σ}}}[I{\left(i\right)}^2+Q{\left(i\right)}^2],$

Wherein, n=0,1,2 ..., N-1, N is that the frequency sweep in a subframe is counted; Maximizing in P (n) again, it is carried out to automatic gain control (AGC, Automatic Gain Control) compensation, can obtain the received signal strength indicator (RSSI of this frequency, Received Signal Strength Indicator), the also i.e. frequency sweep result RSSI (f of this frequency _k), k=0,1,2 ..., K-1, K is the frequency number that needs frequency sweep.To the frequency sweep result in received signal strength indicator thresholding according to RSSI (f _k) size sort, then according to sequence order to RSSI (f _k) corresponding frequency f _kshang searches for community.

But, for the communication system that is tdd mode for working method (hereinafter to be referred as TDD system), TD-SCDMA system described above or TD-LTE system, because uplink and downlink are same frequencies, and in above-mentioned frequency sweep formula, do not consider the transmitting power that mobile terminal is up, in the time having the up transmitting of other terminal and the frequency of its scanning relatively more close near mobile terminal, the power that frequency sweep result detects may be the uplink transmission power of other terminal, instead of the transmitting power of community, will exist like this frequency sweep result inaccurate.And, according to this frequency sweep result, it is sorted, and when frequency Shang community is searched for according to this ranking results, tend to cause searching suitable community and need to spend long time, increase the power consumption of mobile terminal, and in the time of Cell searching, the gain setting of AGC also can be inaccurate, the visible inaccurate meeting of frequency sweep result directly has influence on power consumption and the performance of the consuming time and mobile terminal of Cell searching.

Taking dual mode system as example, for example, for the dual mode system of GSM and TD-SCDMA, in the time that gsm system is under state of activation, need to measure the community of TD-SCDMA system, the synchronizing information that does not now have TD-SCDMA community, therefore, also needs each frequency to carry out power measurement scanning, be frequency sweep, and according to the descending order of frequency sweep result intermediate-frequeney point power, the TD-SCDMA community on frequency searched for.Because up interference can cause frequency sweep result inaccurate, and then while making according to the descending order of frequency sweep result intermediate-frequeney point power, the community of TD-SCDMA system to be searched for, long time need to be spent and real prominent TD-SCDMA community can be searched, cost long time is searched for and is meaned the power consumption that has increased mobile terminal TD-SCDMA community, and then can have influence on the stand-by time of mobile terminal, and under the dedicated mode (DedicateMode) of GSM, conventionally do not have the longer time for TD-SCDMA community is searched for, can cause so in some cases the Serving cell of GSM to die down, but switch to get on less than TD-SCDMA community, and then cause the generation of call drop phenomenon.

In addition, for TDD system, because it adopts N frequency point networking technology conventionally, therefore, only on main carrier, there are pilot frequency information and broadcast message, therefore, should carrying out for main carrier of the search of mobile terminal, and adopt prior art while carrying out frequency sweep, conventionally only scan the power of frequency, and sort accordingly according to the size of frequency power, that is to say to scanning frequency sequence only the size based on this frequency power carry out, and do not consider whether this frequency is dominant frequency point, from the above, the frequency sweep of mobile terminal should be carried out mainly for main carrier, and the frequency that frequency sweep is swept to is not probably the frequency (dominant frequency point) on main carrier, therefore, only sort according to frequency sweep result, and while searching for according to corresponding ranking results, tend to search for the relevant information less than community on this frequency, and then the time that causes searching suitable community is elongated, increase the power consumption of mobile terminal.

Therefore, how can, under TDD system, improve the accuracy of frequency sweep result, the time of minimizing Cell searching, the power consumption of reduction terminal, the performance that improves mobile terminal becomes one of current problem demanding prompt solution.

Summary of the invention

The problem to be solved in the present invention is that the frequency sweep result of existing communication system is inaccurate, directly affects the time of mobile terminal to search community and the power consumption of mobile terminal and performance.

For addressing the above problem, the invention provides a kind of frequency sweeping method of mobile terminal, comprising:

Receive frequency f _kunder signal, wherein, k=0,1,2 ..., (K-1), K supports the frequency number that comprises of bandwidth for terminal;

Power to the signal receiving in the scheduled time taking predetermined step-length NStepSize as unit calculating sampling point and RxDataPowStep (z);

Obtain the performance number a (n) of corresponding subregion a based on described power and RxDataPowStep (z), the performance number b (n) of corresponding subregion b, the performance number c (n) of corresponding subregion c, the performance number d (n) of corresponding subregion d, wherein, n=0, 1, 2, ..., (N-1), sum/the NStepSize of N=sampled point, described subregion a, subregion b, subregion c, subregion d sets gradually and is relevant with the power features of pilot frequency information to the broadcast message of communication system, subregion a comprises La*NStepSize sampled point, subregion b comprises Lb*NStepSize sampled point, subregion c comprises Lc*NStepSize sampled point, subregion d comprises Ld*NStepSize sampled point,

Minimum value in the normalized power norm_a (n) of calculating a (n) and the normalized power norm_c (n) of c (n) and the peaked ratio R (n) in the normalized power norm_b (n) of b (n) and the normalized power norm_d (n) of d (n);

The corresponding n of maximum that determines R (n) is n ', and the normalized power of the normalized power to a (n ') or c (n ') carries out gain compensation, obtains frequency f _kreceived signal strength indicator.

Optionally, described frequency sweeping method also comprises: set R (n ') for frequency f _kfor the confidence level of dominant frequency point.

Optionally, described frequency sweeping method also comprises: the confidence level that is dominant frequency point based on frequency and the received signal strength indicator of frequency sort to frequency.

Optionally, described frequency sweeping method also comprises: carry out Cell searching according to ranking results, the gain of automatic gain control is set according to the received signal strength indicator of corresponding frequency.

For addressing the above problem, the invention provides a kind of frequency-sweeping apparatus of mobile terminal, comprising:

Receiving element, is suitable for receiving frequency f _kunder signal, wherein, k=0,1,2 ..., (K-1), K supports the frequency number that comprises of bandwidth for terminal;

Power and computing unit, be suitable for signal to receiving in scheduled time power and the RxDataPowStep (z) taking predetermined step-length NStepSize as unit calculating sampling point;

Performance number acquiring unit, be suitable for obtaining based on described power and RxDataPowStep (z) the performance number a (n) of corresponding subregion a, the performance number b (n) of corresponding subregion b, the performance number c (n) of corresponding subregion c, the performance number d (n) of corresponding subregion d, wherein, n=0, 1, 2, ..., (N-1), sum/the NStepSize of N=sampled point, described subregion a, subregion b, subregion c, subregion d sets gradually and is relevant with the power features of pilot frequency information to the broadcast message of communication system, subregion a comprises La*NStepSize sampled point, subregion b comprises Lb*NStepSize sampled point, subregion c comprises Lc*NStepSize sampled point, subregion d comprises Ld*NStepSize sampled point,

Power ratio computing unit, is suitable for calculating the peaked ratio R (n) in minimum value and the normalized power norm_b (n) of b (n) and the normalized power norm_d (n) of d (n) in the normalized power norm_a (n) of a (n) and the normalized power norm_c (n) of c (n);

Received signal strength indicator acquiring unit, is suitable for determining that the corresponding n of maximum of R (n) is n ', and the normalized power of the normalized power to a (n ') or c (n ') carries out gain compensation, obtains frequency f _kreceived signal strength indicator.

For addressing the above problem, the present invention also provides a kind of baseband chip of the frequency-sweeping apparatus that comprises above-mentioned mobile terminal.

Compared with prior art, technical scheme of the present invention has the following advantages:

Power features based on broadcast message and pilot frequency information arranges subregion, utilize for example, the mobile position of detecting broadcast message and pilot frequency information in preset range (subframe) of subregion, evade the impact of uplink transmission power on frequency sweep result, thereby can obtain the frequency sweep result of accurate frequency.

Further, utilize mobile in preset range of subregion to detect confidence level that frequency is dominant frequency point and the received signal strength indicator of frequency, and the received signal strength indicator of the confidence level that is dominant frequency point based on frequency and frequency is to sorting for the frequency of dominant frequency point, get rid of non-dominant frequency point, make mobile terminal can search as early as possible main carrier, shorten the time of mobile terminal to search community, reduced the power consumption of mobile terminal, improved the performance of mobile terminal.

Brief description of the drawings

Fig. 1 is the flow chart of the frequency sweeping method of the mobile terminal of technical solution of the present invention;

Fig. 2 is the structural representation of TD-SCDMA subframe;

Fig. 3 is the power features information schematic diagram before the 2nd main time slot of TD-SCDMA subframe;

Fig. 4 is the flow chart of the frequency sweeping method of the mobile terminal of the embodiment of the present invention;

Fig. 5 is a kind of distribution schematic diagram of each sub regions of the embodiment of the present invention;

Fig. 6 is the another kind of distribution schematic diagram of each sub regions of the embodiment of the present invention;

Fig. 7 is the structural representation of the frequency-sweeping apparatus of the mobile terminal of the embodiment of the present invention.

Embodiment

Just as described in the background art, in TDD system, because uplink and downlink are same frequencies, so the power of the frequency that mobile terminal frequency sweep is swept to is probably the uplink transmission power of other terminal, instead of the transmitting power of community, cause frequency sweep result inaccurate, and then make the time that mobile terminal need to be longer just can search suitable community and carry out resident, increase the power consumption of mobile terminal, reduce the performance of mobile terminal, and for the multimode terminal of TDD, also may cause the generation of call drop phenomenon.

For these reasons, technical solution of the present invention provides a kind of frequency sweeping method of mobile terminal, as shown in Figure 1, comprising:

Step S1, receives frequency f _kunder signal, wherein, k=0,1,2 ..., (K-1), K supports the frequency number that comprises of bandwidth for terminal;

Step S2, the power to the signal receiving in the scheduled time taking predetermined step-length NStepSize as unit calculating sampling point and RxDataPowStep (z);

Step S3, obtain the performance number d (n) of the performance number c (n) of the performance number b (n) of the performance number a (n) of corresponding subregion a, corresponding subregion b, corresponding subregion c, corresponding subregion d based on described power and RxDataPowStep (z), wherein, n=0,1,2, ..., (N-1), sum/the NStepSize of N=sampled point, described subregion a, subregion b, subregion c, subregion d set gradually and the broadcast message of communication system relevant with the power features of pilot frequency information;

Step S4, the minimum value in the normalized power norm_a (n) of calculating a (n) and the normalized power norm_c (n) of c (n) and the peaked ratio R (n) in the normalized power norm_b (n) of b (n) and the normalized power norm_d (n) of d (n);

Step S5, determines that the corresponding n of maximum of R (n) is n ', and the normalized power of the normalized power to a (n ') or c (n ') carries out gain compensation, obtains frequency f _kreceived signal strength indicator.

The position of detecting broadcast message and pilot frequency information by the movement of 4 sub regions in preset range arranging, can obtain accurate frequency f _kfrequency sweep result.

For above-mentioned purpose of the present invention, feature and advantage can more be become apparent, below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in detail.

Set forth detail in the following description so that fully understand the present invention.But the present invention can be different from alternate manner described here and implements with multiple, and those skilled in the art can do similar popularization without prejudice to intension of the present invention in the situation that.Therefore the present invention is not subject to the restriction of following public embodiment.

In embodiments of the invention, as an example of TD-SCDMA system example, the frequency sweeping method of the mobile terminal to technical solution of the present invention illustrates accordingly.In order to understand better technical scheme of the present invention, first (Subframe) structure of the subframe to TD-SCDMA system and power features information are carried out simple explanation.

Refer to Fig. 2, Fig. 2 is the structural representation of TD-SCDMA subframe.In TD-SCDMA system, the TD-SCDMA radio frames that frame length is 10ms is divided into two identical wireless sub-frames of structure, and the duration of a subframe is 5ms.Each subframe comprises 7 main time slot TS0～TS6 (TS, Time Slot) and 3 special time slots (descending pilot frequency time slot DwPTS, protection time slot GP and uplink pilot time slot UpPTS) that length is 675 μ s.TS0～TS6 is as transmitting user data or control information, main time slot TS0 is regularly as descending time slot, and at present, the main time slot TS0 of main carrier is used to bearing public control channel, the main time slot TS0 of other auxiliary carrier waves does not use, and remaining 6 main time slots are as service bearer time slot.A subframe comprises 6400 chips (chip), and wherein each TS comprises 864 chip, and wherein last 16 chip are protection interval (Gap); DwPTS comprises 96 chip, and its front 32 chip are Gap; GP comprises 96 chip, and UpPTS comprises 160 chip, and spreading rate is 1.28Mcps (Mchip per second).

Please continue referring to Fig. 3, Fig. 3 is the front power features information schematic diagram of the 2nd the main time slot (TS1) of TD-SCDMA subframe.As shown in Figure 3, for TD-SCDMA subframe, its TS0 time slot comprises 864 chip, and wherein rear 16 chip are Gap, therefore the data of TS0 time slot have only taken 848 chip; DwPTS comprises 96 chip, its front 32 chip are Gap, therefore and rear 16 chip of TS0 time slot altogether formed the Gap of 48 chip, 64 chip are synchronous code (SYNC-DL) thereafter, GP comprises 96 chip, and base station sends without information in the GP time period.160 last chip are UpPTS, and transmitted signal when this time slot accesses for mobile terminal, therefore sometimes do not have information to send at this time slot.

The flow chart of the frequency sweeping method of the mobile terminal of the embodiment of the present invention shown in Figure 4, below is elaborated to each step as an example of TD-SCDMA system example.

Execution step S11, receives frequency f _kunder signal, k=0,1,2 ..., (K-1), K supports the frequency number that comprises of bandwidth for terminal.

In the present embodiment, received signal refers to through the signal after sampling (sample rate requires to set according to system accuracy), take spreading rate as example as 1.28Mcps, the signal receiving is RxData (q), wherein, q=0,1,2, ..., (Q-1), Q is the sum of the sampled point in the scheduled time, conventionally the signal RxData (q) receiving is complex signal, comprises I, Q two-way orthogonal signalling.

In the present embodiment, for guaranteeing to detect whether include broadcast message and pilot frequency information, for a frequency, need to receive the signal in the scheduled time, the described scheduled time should be set at least one transmission cycle of the signal of communication system.In TD-SCDMA system, be to detect the broadcast message of TS0 and the pilot frequency information of DwPTS, the described scheduled time is a subframe, i.e. 5ms, and the chip that subframe comprises adds up to 6400.

It should be noted that, the present embodiment is taking TD-SCDMA system as example, the described scheduled time is a subframe, but be not limited to this time, those skilled in the art should be appreciated that for different communication systems, and the described scheduled time can correspondingly change to some extent, for example, for LTE system, the described scheduled time can be a subframe.

Execution step S12, the power to the signal receiving in the scheduled time taking predetermined step-length NStepSize as unit calculating sampling point and RxDataPowStep (z).Wherein, NStepSize is more than or equal to 1, is generally and reduces operand, and NStepSize gets a value that is greater than 1, and for example 2,4,8,16 etc.

In the present embodiment, first calculate the power RxDataPow (q) of each sampled point, as formula (2-1):

RxDataPow(q)＝RxData(q)*conj(RxData(q))(2-1)

Wherein, the signal of RxData (q) for receiving, q=0,1,2 ..., (Q-1), Q is the sum of the sampled point in the scheduled time; Conj () is for asking conjugate operation.

It should be noted that, in other embodiments, the power of sampled point can be also the mould value of the signal that receives, the i.e. square root that counts of the real part of signal and the quadratic sum of imaginary part.

Then, the power taking predetermined step-length NStepSize as unit calculating sampling point and RxDataPowStep (z), as formula (2-2):

$\mathrm{RxDataPowStep}\left(z\right)=\underset{s=0}{\overset{\mathrm{NStepSize}-1}{\mathrm{\Σ}}}\mathrm{RxDataPow}(z*\mathrm{NStepSize}+s)---(2-2)$

Wherein, z=0,1,2 ..., (Z-1), Z=Q/NStepSize.Formula (2-2) is exactly in fact to calculate in the scheduled time, taking NStepSize sampled point as unit, calculate the sampled point that comprises of constituent parts power and, particularly, calculate power and the RxDataPowStep (0) of 1st～NStepSize sampled point, the power of the NStepSize～2*NStepSize sampled point and RxDataPowStep (1), ..., the power of NStepSize～Z*NStepSize sampled point of (Z-1) * and RxDataPowStep (Z-1).

Execution step S13, obtain the performance number d (n) of the performance number c (n) of the performance number b (n) of the performance number a (n) of corresponding subregion a, corresponding subregion b, corresponding subregion c, corresponding subregion d based on described power and RxDataPowStep (z), wherein, n=0,1,2 ..., (N-1), N=Q/NStepSize.

Described subregion a, subregion b, subregion c, subregion d are the time zone setting gradually in the described scheduled time, and the power features of subregion a, subregion b, subregion c, the setting of subregion d and the broadcast message of communication system and pilot frequency information is relevant.If the described scheduled time is called to the power features window cycle, subregion a, subregion b, subregion c, subregion d also can be called the subregion in power features window.Taking TD-SCDMA system as example, with reference to figure 3, synchronous point in the situation that, the n point namely calculating just in time makes power features window overlap with the power features that receives signal, the part or all of reception data of the corresponding TS0 of subregion a, the part or all of reception data of the corresponding 48chips Gap of subregion b, the part or all of reception data of the corresponding 64chips DwPTS of subregion c, the part or all of reception data of the corresponding 96chips GP of subregion d, the power ratio R now calculating (n) is maximum (referring to step S14).Therefore, subregion a can be set and comprise at most 848 chip, subregion b comprises at most 48 chip, and subregion c comprises at most 64 chip, and subregion d comprises at most 96 chip.

If subregion a comprises La*NStepSize sampled point, subregion b and comprises that Lb*NStepSize sampled point, subregion c comprise Lc*NStepSize sampled point, subregion d comprises Ld*NStepSize sampled point.Can gapless between all subregion, it distributes as shown in Figure 5; Also can be gapped between all subregion, it distributes as shown in Figure 6, below the obtain manner of the power features value that this two seed region distributes corresponding is described respectively.

Be set to example with gapless distribution between the each sub regions shown in Fig. 5, subregion a can comprise 848 chip, and subregion b can comprise 48 chip, and subregion c can comprise 64 chip, and subregion d can comprise 96 chip.In actual applications, in order to reduce operand, subregion a can only comprise the chip of TS0 aft section, and for example, subregion a comprises TS0 64 chip below.The performance number a (n) of corresponding subregion a obtains by formula (3-1), the performance number b (n) of corresponding subregion b obtains by formula (3-2), the performance number c (n) of corresponding subregion c obtains by formula (3-3), and the performance number d (n) of corresponding subregion d obtains by formula (3-4):

$a\left(n\right)=\underset{t=0}{\overset{\mathrm{La}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+t)---(3-1)$

$b\left(n\right)=\underset{t=0}{\overset{\mathrm{Lb}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+\mathrm{La}+t)---(3-2)$

$c\left(n\right)=\underset{t=0}{\overset{\mathrm{Lc}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+\mathrm{La}+\mathrm{Lb}+t)---(3-3)$

$d\left(n\right)=\underset{t=0}{\overset{\mathrm{Ld}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+\mathrm{La}+\mathrm{Lb}+\mathrm{Lc}+t)---(3-4)$

In order to reduce operand, can be optimized the computing of performance number a (n), b (n), c (n), d (n), first utilize above-mentioned formula (3-1)～(3-4) difference calculated power value a (0), b (0), c (0), d (0), calculate respectively again n=1,2, ..., (N-1) performance number a (n), b (n), c (n), d (n), as formula (3-5), (3-6), (3-7), (3-8):

a(n)＝a(n-1)+RxDataPowStep(n+La-1)-RxDataPowStep(n-1) (3-5)

b(n)＝b(n-1)+RxDataPowStep(n+La+Lb-1)-RxDataPowStep(n+La-1) (3-6)

c(n)＝c(n-1)+RxDataPowStep(n+La+Lb+Lc-1)-RxDataPowStep(n+La+Lb-1) (3-7)

d(n)＝d(n-1)+RxDataPowStep(n+La+Lb+Lc+Ld-1)-RxDataPowStep(n+La+Lb+Lc-1)

(3-8)

Be set to example with gapped distribution between the each sub regions shown in Fig. 6, gap between all subregion be due to air traffic channel multipath cause time delay the conservation treatment of stack, specifically, owing to having multipath signal in the external field environment of communication system, the signal that terminal receives is the stack transmitting by after different delay and decay, therefore the chip above or below in subregion b or subregion d can comprise certain energy, the energy that is the upper part chip of other multipath upper regions territory a or subregion c superposes up because multidiameter delay is different, will have influence on like this accuracy of subsequent calculations, similarly, the energy of the upper part chip of subregion a or subregion c also can be reduced by subregion b or the upper part chip of subregion d, therefore, the impact that gap can reduce multidiameter delay is set between all subregion, further improve the accuracy of frequency sweep result, the gap between general all subregion can be set to comprise 0～32 chip.For instance, subregion a comprises 64 chip, subregion b comprises 32 chip, subregion c comprises 48 chip, subregion d comprises 80 chip, gap between subregion a and subregion b comprises 32 chip, and the gap between subregion b and subregion c comprises 16 chip, and the gap between subregion c and subregion d comprises 16 chip.If the gap between subregion a and subregion b comprises Lga*NStepSize sampled point, gap between subregion b and subregion c comprises Lgb*NStepSize sampled point, gap between subregion c and subregion d comprises Lgc*NStepSize sampled point, the performance number a (n) of corresponding subregion a obtains by formula (3-9), the performance number b (n) of corresponding subregion b obtains by formula (3-10), the performance number c (n) of corresponding subregion c obtains by formula (3-11), the performance number d (n) of corresponding subregion d obtains by formula (3-12):

$a\left(n\right)=\underset{t=0}{\overset{\mathrm{La}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+t)---(3-9)$

$b\left(n\right)=\underset{t=0}{\overset{\mathrm{Lb}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+\mathrm{La}+\mathrm{Lga}+t)---(3-10)$

$c\left(n\right)=\underset{t=0}{\overset{\mathrm{Lc}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+\mathrm{La}+\mathrm{Lga}+\mathrm{Lb}+\mathrm{Lgb}+t)---(3-11)$

$d\left(n\right)=\underset{t=0}{\overset{\mathrm{Ld}-1}{\mathrm{\Σ}}}\mathrm{RxDataPowStep}(n+\mathrm{La}+\mathrm{Lga}+\mathrm{Lb}+\mathrm{Lgb}+\mathrm{Lc}+\mathrm{Lgc}+t)---(3-12)$

In order to reduce operand, can be optimized the computing of performance number a (n), b (n), c (n), d (n), first utilize above-mentioned formula (3-9)～(3-12) difference calculated power value a (0), b (0), c (0), d (0), calculate respectively again n=1,2, ..., (N-1) performance number a (n), b (n), c (n), d (n), as formula (3-13), (3-14), (3-15), (3-16):

a(n)＝a(n-1)+RxDataPowStep(n+La-1)-RxDataPowStep(n-1) (3-13)

b(n)＝b(n-1)+RxDataPowStep(n+La+Lga+Lb-1)-RxDataPowStep(n+La+Lga-1)

(3-14)

c(n)＝c(n-1)+RxDataPowStep(n+La+Lga+Lb+Lgb+Lc-1) (3-15)

-RxDataPowStep(n+La+Lga+Lb+Lgb-1)

d(n)＝d(n-1)+RxDataPowStep(n+La+Lga+Lb+Lgb+Lc+Lgc+Ld-1) (3-16)

-RxDataPowStep(n+La+Lga+Lb+Lgb+Lc+Lgc-1)

Execution step S14, the minimum value in the normalized power norm_a (n) of calculating a (n) and the normalized power norm_c (n) of c (n) and the peaked ratio R (n) in the normalized power norm_b (n) of b (n) and the normalized power norm_d (n) of d (n).

Because the duration of all subregion may be not identical, therefore need performance number a (n), b (n), c (n), d (n) to obtaining to be normalized.The normalized power norm_c (n) of the normalized power norm_a (n) of a in the present embodiment (n), the normalized power norm_b (n) of b (n), c (n), the normalized power norm_d (n) of d (n) can pass through formula (4-1), (4-2), (4-3) and (4-4) acquisition:

norm_a(n)＝a(n)/La (4-1)

norm_b(n)＝b(n)/Lb (4-2)

norm_c(n)＝c(n)/Lc (4-3)

norm_d(n)＝d(n)/Ld (4-4)

In other embodiments, normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) also can pass through formula (4-5), (4-6), (4-7) and (4-8) acquisition:

norm_a(n)＝a(n)(4-5)

norm_b(n)＝b(n)(4-6)

norm_c(n)＝c(n)(4-7)

norm_d(n)＝d(n)(4-8)

Or, normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) also can pass through formula (4-9, (4-10), (4-11) and (4-12) obtain:

norm_a(n)＝a(n)*Lc/La (4-9)

norm_b(n)＝b(n)*Ld/Lb (4-10)

norm_c(n)＝c(n)(4-11)

norm_d(n)＝d(n)(4-12)

Or normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) also can pass through formula (4-13), (4-14), (4-15) and (4-16) acquisition:

norm_a(n)＝a(n)(4-13)

norm_b(n)＝b(n)(4-14)

norm_c(n)＝c(n)*La/Lc (4-15)

norm_d(n)＝d(n)*Lb/Ld (4-16)

Or normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) can also pass through formula (4-17), (4-18), (4-19) and (4-20) acquisition:

norm_a(n)＝a(n)*Lc/La (4-17)

norm_b(n)＝b(n)(4-18)

norm_c(n)＝c(n)(4-19)

norm_d(n)＝d(n)*Lb/Ld (4-20)

Or normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) can also pass through formula (4-21), (4-22), (4-23) and (4-24) acquisition:

norm_a(n)＝a(n)(4-21)

norm_b(n)＝b(n)*Ld/Lb (4-22)

norm_c(n)＝c(n)*La/Lc (4-23)

norm_d(n)＝d(n)(4-24)

Then, ask the peaked ratio R (n) in minimum value and the normalized power norm_b (n) of b (n) and the normalized power norm_d (n) of d (n) in the normalized power norm_a (n) of a (n) and the normalized power norm_c (n) of c (n), can use formula (4-25) to represent:

R(n)＝min norm_ac(n)/max_norm_bd(n)(4-25)

Wherein, min_norm_ac (n) represents the minimum value in normalized power norm_a (n), norm_c (n), and max_norm_bd (n) represents the maximum in normalized power norm_b (n), norm_d (n).

It should be noted that, in other embodiments, calculate described ratio R (n) front, can also revise described normalized power norm_a (n) and the minimum value min_norm_ac (n) in norm_c (n), described normalized power norm_b (n) and the maximum max_norm_bd (n) in norm_d (n) are revised; Described ratio R (n) is revised minimum value and revised peaked ratio.

Execution step S15, determines that the corresponding n of maximum of R (n) is n ', and the normalized power of the normalized power to a (n ') or c (n ') carries out gain compensation, obtains frequency f _kreceived signal strength indicator RSSI (f _k).

For instance, by step S14 obtain R (0), R (1), R (2) ..., R (N-1), if wherein R (2) is maximum, n '=2, can carry out gain compensation to the normalized power norm_c (2) of c (2), the result obtaining is as frequency f _kreceived signal strength indicator RSSI (f _k).Certainly, also can carry out gain compensation to the normalized power norm_a (2) of a (2), the result obtaining is as frequency f _kreceived signal strength indicator RSSI (f _k).Wherein, described gain compensation comprises: the gain compensation on AGC compensation and link.

TS0, the DwPTS of above-mentioned steps based on TD-SCDMA communication system and the power features information on both sides thereof, the power features window that setting comprises 4 sub regions, power features window moves within the scope of a subframe, moving step length NStepSize can determine according to operand and system requirements, determines received signal strength indicator RSSI (f with the normalized power of subregion a corresponding to the maximum of power ratio or performance number corresponding to subregion c _k).Because power ratio is the value that the maximum in the normalized power of minimum value in the normalized power of the performance number that the normalized power of the performance number that subregion a (corresponding TS0) is corresponding and subregion c (corresponding DwPTS) the are corresponding normalized power of performance number more corresponding than subregion b (corresponding Gap) and the performance number of subregion d (corresponding GP) correspondence obtains, also detect the position of TS0 and DwPTS by power features window, evade the impact of uplink transmission power on frequency sweep result, thereby can obtain accurate frequency f _kfrequency sweep result.

Consider in TD-SCDMA system it is mainly to carry out frequency sweep for main carrier, can further utilize the above results to detect frequency f _kfor the confidence level of dominant frequency point, continue with reference to figure 4, execution step S16, sets the confidence level that R (n ') is dominant frequency point for frequency.In the present embodiment, the maximum R of setting power ratio (n ') is frequency f _kfor the confidence level of broadcast channel (BCH) frequency.Generally, confidence level is larger, frequency f _kfor the possibility of BCH frequency just larger.

Execution step S17, the confidence level that is dominant frequency point based on frequency and the received signal strength indicator of frequency sort to frequency.In the present embodiment, comprehensive frequency is the confidence level of BCH frequency and the received signal strength indicator RSSI (f of frequency _k) frequency is sorted, make mobile terminal can find as soon as possible dominant frequency point, and pilot frequency information and broadcast message based on providing on dominant frequency point, carry out Cell searching.

When concrete enforcement, step S17 can comprise: the confidence level that is BCH frequency by frequency is greater than the confidence level that frequency that the second confidence level thresholding and received signal strength indicator be greater than received signal strength indicator thresholding is dominant frequency point according to frequency and sorts; The frequency that the confidence level that is dominant frequency point by frequency is identical sorts according to the received signal strength indicator of frequency; Wherein, if frequency f _kfor the confidence level of dominant frequency point is greater than the first confidence level thresholding by frequency f _kfor the confidence level of dominant frequency point is set as described the first confidence level thresholding, described the first confidence level thresholding is greater than the second confidence level thresholding.

Above-mentioned the sequence of frequency is divided into 3 grades by the first confidence level thresholding and the second confidence level thresholding by the frequency of community:

The frequency that confidence level is greater than the first confidence level thresholding is exactly most possibly BCH frequency or is exactly BCH frequency substantially, now also need to do thresholding overflow protection, the confidence level that is BCH frequency by frequency is set to described the first confidence level thresholding, because terminal need to reside in power Qiang community, therefore these are most possibly that the confidence level of the frequency of BCH frequency is set to identical, then sort from big to small according to RSSI, taking ranking results as according to carrying out Cell searching, make terminal resident power Qiang community rapidly; The frequency of confidence level between the first confidence level thresholding and the second confidence level thresholding may be BCH frequency; The frequency that confidence level is less than the second confidence level thresholding is non-BCH frequency.Therefore, confidence level is greater than to the frequency that the second confidence level thresholding and RSSI be greater than received signal strength indicator thresholding to sort, can first sort to frequency from big to small according to confidence level, for identical from big to small frequency being sorted according to RSSI of confidence level.

Described the first confidence level thresholding, described the second confidence level thresholding are relevant to the system requirements of communication system, can be according to actual conditions setting; Described received signal strength indicator thresholding is relevant to the resident condition in community.

It should be noted that, frequency is sorted and is not limited to above-mentioned lifted example, can also have multiple mapping mode.For example, confidence level is greater than to the frequency that the second confidence level thresholding and RSSI are greater than received signal strength indicator thresholding, can first sorts to frequency from big to small according to RSSI, more from big to small frequency be sorted according to confidence level.Or, confidence level is greater than to the frequency that the second confidence level thresholding and RSSI are greater than received signal strength indicator thresholding, be first divided into many grades according to the large young pathbreaker's frequency of confidence level, from big to small frequency is sorted according to RSSI in every grade.Or, confidence level is greater than to the frequency that the second confidence level thresholding and RSSI are greater than received signal strength indicator thresholding, be first divided into many grades according to the large young pathbreaker's frequency of RSSI, from big to small frequency is sorted according to confidence level in every grade.In addition, also can not need that confidence level is greater than to all frequencies that the second confidence level thresholding and RSSI be greater than received signal strength indicator thresholding and sort, and only using confidence level and the former large frequencies of RSSI as ranking results.

Sort owing to just confidence level being greater than to the frequency that the second confidence level thresholding and RSSI be greater than received signal strength indicator thresholding, to likely for the frequency of BCH frequency sorts, and non-BCH frequency is not sorted, follow-up while carrying out Cell searching based on ranking results, can get rid of non-BCH frequency, thereby shorten the consuming time of Cell searching, reduce the power consumption of mobile terminal.

Execution step S18, carries out Cell searching according to ranking results, and the gain of AGC is set according to the received signal strength indicator of corresponding frequency.

The frequency sweep result of above-mentioned each frequency of combination of foundation and each frequency are that the result that the confidence level of BCH frequency sorts to frequency is carried out Cell searching, make mobile terminal can search faster suitable community, and carry out resident, shorten the time of mobile terminal to search community, reduce the power consumption of mobile terminal, and then promoted the performance of mobile terminal.

Arrange because Cell searching needs accurate AGC, obtain RSSI and control the AGC of Cell searching by frequency sweep, can further improve the precision of subsequent operation (for example cell measurement), the speed of increasing terminal persistent district.

The frequency sweeping method of corresponding above-mentioned mobile terminal, as shown in Figure 7, described frequency-sweeping apparatus comprises the frequency-sweeping apparatus of the mobile terminal of the embodiment of the present invention: receiving element A1, power and computing unit A2, performance number acquiring unit A3, power ratio acquiring unit A4 and received signal strength indicator acquiring unit A5.

Described receiving element A1 is suitable for receiving frequency f _kunder signal, wherein, k=0,1,2 ..., (K-1), K supports the frequency number that comprises of bandwidth for terminal.

Described power and computing unit A2 are suitable for power and the RxDataPowStep (z) taking predetermined step-length NStepSize as unit calculating sampling point to signal that in the scheduled time, described receiving element A1 receives.

Described power and RxDataPowStep (z) that described performance number acquiring unit A3 is suitable for calculating based on described power and computing unit A2 obtain the performance number c (n) of the performance number b (n) of the performance number a (n) of corresponding subregion a, corresponding subregion b, corresponding subregion c and the performance number d (n) of corresponding subregion d, and described subregion a, subregion b, subregion c, subregion d set gradually and be relevant with the power features of pilot frequency information to the broadcast message of communication system.

Described power ratio computing unit A4 is connected with described performance number acquiring unit A3, is suitable for the peaked ratio R (n) in minimum value and the normalized power norm_b (n) of performance number b (n) and the normalized power norm_d (n) of performance number d (n) in the normalized power norm_a (n) of calculated power value a (n) and the normalized power norm_c (n) of performance number c (n).

Described received signal strength indicator acquiring unit A5 is suitable for the ratio R (n) of calculating based on described power ratio computing unit A4, the corresponding n of maximum that determines R (n) is n ', the normalized power of normalized power to a (n ') or c (n ') carries out gain compensation, obtains frequency f _kreceived signal strength indicator.

In the present embodiment, the frequency-sweeping apparatus of described mobile terminal also comprises: confidence level setting unit A6, sequencing unit A7, search unit A8 and gain setting unit A9.

Described confidence level setting unit A6 is suitable for definite n ' based on described received signal strength indicator acquiring unit A5, and setting R (n ') is frequency f _kfor the confidence level of dominant frequency point.

The received signal strength indicator of the frequency that the confidence level that the frequency that described sequencing unit A7 is suitable for arranging based on described confidence level setting unit A6 is dominant frequency point and described received signal strength indicator acquiring unit A5 obtain sorts to frequency.

Described search unit A8 is suitable for carrying out Cell searching according to the ranking results of described sequencing unit A7.

Described gain setting unit A9 is suitable for arranging according to the received signal strength indicator of the corresponding frequency of described received signal strength indicator acquiring unit A5 acquisition the gain of automatic gain control.

In addition, the frequency-sweeping apparatus of described mobile terminal can also comprise amending unit (not shown), be suitable in the described ratio R of calculating (n) front, described normalized power norm_a (n) is revised with the minimum value in norm_c (n), described normalized power norm_b (n) is revised with the maximum in norm_d (n).The ratio R (n) that described power ratio acquiring unit calculates is revised minimum value and revised peaked ratio.

The course of work of above-mentioned each unit can, with reference to the corresponding description in above-mentioned frequency sweeping method, not repeat them here.

The embodiment of the present invention also provides a kind of baseband chip of the frequency-sweeping apparatus that comprises above-mentioned mobile terminal, and described baseband chip is applied in mobile terminal.

Although the present invention with preferred embodiment openly as above; but it is not for limiting the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; can utilize method and the technology contents of above-mentioned announcement to make possible variation and amendment to technical solution of the present invention; therefore; every content that does not depart from technical solution of the present invention; any simple modification, equivalent variations and the modification above embodiment done according to technical spirit of the present invention, all belong to the protection range of technical solution of the present invention.

Claims (29)

1. a frequency sweeping method for mobile terminal, is characterized in that, comprising:

Receive frequency f _kunder signal, wherein, k=0,1,2 ..., (K-1), K supports the frequency number that comprises of bandwidth for terminal;

Power to the signal receiving in the scheduled time taking predetermined step-length NStepSize as unit calculating sampling point and RxDataPowStep (z);

Obtain the performance number a (n) of corresponding subregion a based on described power and RxDataPowStep (z), the performance number b (n) of corresponding subregion b, the performance number c (n) of corresponding subregion c, the performance number d (n) of corresponding subregion d, wherein, n=0, 1, 2, ..., (N-1), sum/the NStepSize of N=sampled point, described subregion a, subregion b, subregion c, subregion d sets gradually and is relevant with the power features of pilot frequency information to the broadcast message of communication system, subregion a comprises La*NStepSize sampled point, subregion b comprises Lb*NStepSize sampled point, subregion c comprises Lc*NStepSize sampled point, subregion d comprises Ld*NStepSize sampled point,

Minimum value in the normalized power norm_a (n) of calculating a (n) and the normalized power norm_c (n) of c (n) and the peaked ratio R (n) in the normalized power norm_b (n) of b (n) and the normalized power norm_d (n) of d (n);

The corresponding n of maximum that determines R (n) is n', and the normalized power of the normalized power to a (n') or c (n') carries out gain compensation, obtains frequency f _kreceived signal strength indicator;

Setting R (n') is frequency f _kfor the confidence level of dominant frequency point;

The confidence level that is dominant frequency point based on frequency and the received signal strength indicator of frequency sort to frequency;

Wherein, the described confidence level that is dominant frequency point based on frequency and the received signal strength indicator of frequency sort and comprise frequency:

The confidence level that is dominant frequency point by frequency is greater than the confidence level that frequency that the second confidence level thresholding and received signal strength indicator be greater than received signal strength indicator thresholding is dominant frequency point according to frequency and sorts;

The frequency that the confidence level that is dominant frequency point by frequency is identical sorts according to the received signal strength indicator of frequency;

Wherein, if frequency f _kfor the confidence level of dominant frequency point is greater than the first confidence level thresholding by frequency f _kfor the confidence level of dominant frequency point is set as described the first confidence level thresholding, described the first confidence level thresholding is greater than the second confidence level thresholding.

2. the frequency sweeping method of mobile terminal as claimed in claim 1, is characterized in that, described power and

RxDataPowStep (z) calculates in the following way:

RxDataPow(q)＝RxData(q)*conj(RxData(q))，

Wherein, the signal of RxData (q) for receiving, q=0,1,2, ..., (Q-1), Q is the sum of the sampled point in the scheduled time, z=0,1,2 ..., (Z-1), Z=Q/NStepSize, conj () is for asking conjugate operation.

3. the frequency sweeping method of mobile terminal as claimed in claim 1, is characterized in that, gapless between all subregion, and described performance number a (n), b (n), c (n), d (n) obtain in the following way:

4. the frequency sweeping method of mobile terminal as claimed in claim 1, is characterized in that, gapless between all subregion, and described performance number a (n), b (n), c (n), d (n) obtain in the following way:

Work as n=0

Work as n=1,2 ..., (N-1)

a(n)＝a(n-1)+RxDataPowStep(n+La-1)-RxDataPowStep(n-1)，

b(n)＝b(n-1)+RxDataPowStep(n+La+Lb-1)-RxDataPowStep(n+La-1)，

c(n)＝c(n-1)+RxDataPowStep(n+La+Lb+Lc-1)-RxDataPowStep(n+La+Lb-1)，

d(n)＝d(n-1)+RxDataPowStep(n+La+Lb+Lc+Ld-1)-RxDataPowStep(n+La+Lb+Lc-1)。

5. the frequency sweeping method of mobile terminal as claimed in claim 1, it is characterized in that, gapped between all subregion, wherein, gap between subregion a and subregion b comprises Lga*NStepSize sampled point, gap between subregion b and subregion c comprises Lgb*NStepSize sampled point, and the gap between subregion c and subregion d comprises Lgc*NStepSize sampled point;

Described power features value a (n), b (n), c (n), d (n) obtain in the following way:

6. the frequency sweeping method of mobile terminal as claimed in claim 1, it is characterized in that, gapped between all subregion, wherein, gap between subregion a and subregion b comprises Lga*NStepSize sampled point, gap between subregion b and subregion c comprises Lgb*NStepSize sampled point, and the gap between subregion c and subregion d comprises Lgc*NStepSize sampled point;

Described performance number a (n), b (n), c (n), d (n) obtain in the following way:

Work as n=0

Work as n=1,2 ..., (N-1)

a(n)＝a(n-1)+RxDataPowStep(n+La-1)-RxDataPowStep(n-1)，

b(n)＝b(n-1)+RxDataPowStep(n+La+Lga+Lb-1)-RxDataPowStep(n+La+Lga-1)，

c(n)＝c(n-1)+RxDataPowStep(n+La+Lga+Lb+Lgb+Lc-1)，

-RxDataPowStep(n+La+Lga+Lb+Lgb-1)

d(n)＝d(n-1)+RxDataPowStep(n+La+Lga+Lb+Lgb+Lc+Lgc+Ld-1)

-RxDataPowStep(n+La+Lga+Lb+Lgb+Lc+Lgc-1)。

7. the frequency sweeping method of mobile terminal as claimed in claim 1, is characterized in that, described normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) obtain in the following way:

norm_a(n)＝a(n)/La，

norm_b(n)＝b(n)/Lb，

norm_c(n)＝c(n)/Lc，

norm_d(n)＝d(n)/Ld；

Or,

norm_a(n)＝a(n)，

norm_b(n)＝b(n)，

norm_c(n)＝c(n)，

norm_d(n)＝d(n)。

8. the frequency sweeping method of mobile terminal as claimed in claim 1, is characterized in that, described normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) obtain in the following way:

norm_a(n)＝a(n)*Lc/La，

norm_b(n)＝b(n)*Ld/Lb，

norm_c(n)＝c(n)，

norm_d(n)＝d(n)；

Or,

norm_a(n)＝a(n)，

norm_b(n)＝b(n)，

norm_c(n)＝c(n)*La/Lc，

norm_d(n)＝d(n)*Lb/Ld。

9. the frequency sweeping method of mobile terminal as claimed in claim 1, is characterized in that, described normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) obtain in the following way:

norm_a(n)＝a(n)*Lc/La，

norm_b(n)＝b(n)，

norm_c(n)＝c(n)，

norm_d(n)＝d(n)*Lb/Ld；

Or,

norm_a(n)＝a(n)，

norm_b(n)＝b(n)*Ld/Lb，

norm_c(n)＝c(n)*La/Lc，

norm_d(n)＝d(n)。

10. the frequency sweeping method of mobile terminal as claimed in claim 1, it is characterized in that, also comprise: calculating, described ratio R (n) is front, described normalized power norm_a (n) is revised with the minimum value in norm_c (n), described normalized power norm_b (n) is revised with the maximum in norm_d (n); Described ratio R (n) is revised minimum value and revised peaked ratio.

The frequency sweeping method of 11. mobile terminals as claimed in claim 1, is characterized in that, also comprises: carry out Cell searching according to ranking results, the gain of automatic gain control is set according to the received signal strength indicator of corresponding frequency.

The frequency sweeping method of 12. mobile terminals as claimed in claim 1, is characterized in that, described communication system is TDD communication system.

The frequency sweeping method of 13. mobile terminals as claimed in claim 12, it is characterized in that, described communication system is TD-SCDMA communication system, the described scheduled time is 5ms, described subregion a comprises at most 848 chip, described subregion b comprises at most 48 chip, and described subregion c comprises at most 64 chip, and described subregion d comprises at most 96 chip.

The frequency sweeping method of 14. mobile terminals as claimed in claim 1, described gain compensation comprises: the gain compensation on automatic gain control and compensation and link.

The frequency-sweeping apparatus of 15. 1 kinds of mobile terminals, is characterized in that, comprising:

Receiving element, is suitable for receiving frequency f _kunder signal, wherein, k=0,1,2 ..., (K-1), K supports the frequency number that comprises of bandwidth for terminal;

Power and computing unit, be suitable for signal to receiving in scheduled time power and the RxDataPowStep (z) taking predetermined step-length NStepSize as unit calculating sampling point;

Performance number acquiring unit, be suitable for obtaining based on described power and RxDataPowStep (z) the performance number a (n) of corresponding subregion a, the performance number b (n) of corresponding subregion b, the performance number c (n) of corresponding subregion c, the performance number d (n) of corresponding subregion d, wherein, n=0, 1, 2, ..., (N-1), sum/the NStepSize of N=sampled point, described subregion a, subregion b, subregion c, subregion d sets gradually and is relevant with the power features of pilot frequency information to the broadcast message of communication system, subregion a comprises La*NStepSize sampled point, subregion b comprises Lb*NStepSize sampled point, subregion c comprises Lc*NStepSize sampled point, subregion d comprises Ld*NStepSize sampled point,

Power ratio computing unit, is suitable for calculating the peaked ratio R (n) in minimum value and the normalized power norm_b (n) of b (n) and the normalized power norm_d (n) of d (n) in the normalized power norm_a (n) of a (n) and the normalized power norm_c (n) of c (n);

Received signal strength indicator acquiring unit, is suitable for determining that the corresponding n of maximum of R (n) is n', and the normalized power of the normalized power to a (n') or c (n') carries out gain compensation, obtains frequency f _kreceived signal strength indicator;

Confidence level setting unit, being suitable for setting R (n') is frequency f _kfor the confidence level of dominant frequency point;

Sequencing unit, the confidence level that to be suitable for based on frequency be dominant frequency point and the received signal strength indicator of frequency sort to frequency;

Wherein, the confidence level that described sequencing unit is dominant frequency point based on frequency and the received signal strength indicator of frequency sort and comprise frequency:

The confidence level that is dominant frequency point by frequency is greater than the confidence level that frequency that the second confidence level thresholding and received signal strength indicator be greater than received signal strength indicator thresholding is dominant frequency point according to frequency and sorts;

The frequency that the confidence level that is dominant frequency point by frequency is identical sorts according to the received signal strength indicator of frequency;

Wherein, if frequency f _kfor the confidence level of dominant frequency point is greater than the first confidence level thresholding by frequency f _kfor the confidence level of dominant frequency point is set as described the first confidence level thresholding, described the first confidence level thresholding is greater than the second confidence level thresholding.

The frequency-sweeping apparatus of 16. mobile terminals as claimed in claim 15, is characterized in that, described power and

RxDataPowStep (z) calculates in the following way:

RxDataPow(q)＝RxData(q)*conj(RxData(q))，

Wherein, the signal of RxData (q) for receiving, q=0,1,2, ..., (Q-1), Q is the sum of the sampled point in the scheduled time, z=0,1,2 ..., (Z-1), Z=Q/NStepSize, conj () is for asking conjugate operation.

The frequency-sweeping apparatus of 17. mobile terminals as claimed in claim 15, is characterized in that, gapless between all subregion, and described performance number a (n), b (n), c (n), d (n) obtain in the following way:

The frequency-sweeping apparatus of 18. mobile terminals as claimed in claim 15, is characterized in that, nothing between all subregion

Gap, described performance number a (n), b (n), c (n), d (n) obtain in the following way:

Work as n=0

Work as n=1,2 ..., (N-1)

a(n)＝a(n-1)+RxDataPowStep(n+La-1)-RxDataPowStep(n-1)，

b(n)＝b(n-1)+RxDataPowStep(n+La+Lb-1)-RxDataPowStep(n+La-1)，

c(n)＝c(n-1)+RxDataPowStep(n+La+Lb+Lc-1)-RxDataPowStep(n+La+Lb-1)，

d(n)＝d(n-1)+RxDataPowStep(n+La+Lb+Lc+Ld-1)-RxDataPowStep(n+La+Lb+Lc-1)。

The frequency-sweeping apparatus of 19. mobile terminals as claimed in claim 15, it is characterized in that, gapped between all subregion, wherein, gap between subregion a and subregion b comprises Lga*NStepSize sampled point, gap between subregion b and subregion c comprises Lgb*NStepSize sampled point, and the gap between subregion c and subregion d comprises Lgc*NStepSize sampled point;

Described power features value a (n), b (n), c (n), d (n) obtain in the following way:

The frequency-sweeping apparatus of 20. mobile terminals as claimed in claim 15, it is characterized in that, gapped between all subregion, wherein, gap between subregion a and subregion b comprises Lga*NStepSize sampled point, gap between subregion b and subregion c comprises Lgb*NStepSize sampled point, and the gap between subregion c and subregion d comprises Lgc*NStepSize sampled point;

Described performance number a (n), b (n), c (n), d (n) obtain in the following way:

Work as n=0

Work as n=1,2 ..., (N-1)

a(n)＝a(n-1)+RxDataPowStep(n+La-1)-RxDataPowStep(n-1)，

b(n)＝b(n-1)+RxDataPowStep(n+La+Lga+Lb-1)-RxDataPowStep(n+La+Lga-1)，

c(n)＝c(n-1)+RxDataPowStep(n+La+Lga+Lb+Lgb+Lc-1)，

-RxDataPowStep(n+La+Lga+Lb+Lgb-1)

d(n)＝d(n-1)+RxDataPowStep(n+La+Lga+Lb+Lgb+Lc+Lgc+Ld-1)

-RxDataPowStep(n+La+Lga+Lb+Lgb+Lc+Lgc-1)。

The frequency-sweeping apparatus of 21. mobile terminals as claimed in claim 15, it is characterized in that, described normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) obtain in the following way:

norm_a(n)＝a(n)/La，

norm_b(n)＝b(n)/Lb，

norm_c(n)＝c(n)/Lc，

norm_d(n)＝d(n)/Ld；

Or,

norm_a(n)＝a(n)，

norm_b(n)＝b(n)，

norm_c(n)＝c(n)，

norm_d(n)＝d(n)。

The frequency-sweeping apparatus of 22. mobile terminals as claimed in claim 15, it is characterized in that, described normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) obtain in the following way:

norm_a(n)＝a(n)*Lc/La，

norm_b(n)＝b(n)*Ld/Lb，

norm_c(n)＝c(n)，

norm_d(n)＝d(n)；

Or,

norm_a(n)＝a(n)，

norm_b(n)＝b(n)，

norm_c(n)＝c(n)*La/Lc，

norm_d(n)＝d(n)*Lb/Ld。

The frequency-sweeping apparatus of 23. mobile terminals as claimed in claim 15, it is characterized in that, described normalized power norm_a (n), norm_b (n), norm_c (n), norm_d (n) obtain in the following way:

norm_a(n)＝a(n)*Lc/La，

norm_b(n)＝b(n)，

norm_c(n)＝c(n)，

norm_d(n)＝d(n)*Lb/Ld；

Or,

norm_a(n)＝a(n)，

norm_b(n)＝b(n)*Ld/Lb，

norm_c(n)＝c(n)*La/Lc，

norm_d(n)＝d(n)。

The frequency-sweeping apparatus of 24. mobile terminals as claimed in claim 15, it is characterized in that, also comprise: amending unit, be suitable in the described ratio R of calculating (n) front, described normalized power norm_a (n) is revised with the minimum value in norm_c (n), described normalized power norm_b (n) is revised with the maximum in norm_d (n);

The ratio R (n) that described power ratio acquiring unit calculates is revised minimum value and revised peaked ratio.

The frequency-sweeping apparatus of 25. mobile terminals as claimed in claim 15, is characterized in that, also comprises: search unit, is suitable for carrying out Cell searching according to ranking results; Gain setting unit, is suitable for arranging according to the received signal strength indicator of corresponding frequency the gain of automatic gain control.

The frequency-sweeping apparatus of 26. mobile terminals as claimed in claim 15, is characterized in that, described communication system is TDD communication system.

The frequency-sweeping apparatus of 27. mobile terminals as claimed in claim 26, it is characterized in that, described communication system is TD-SCDMA communication system, the described scheduled time is 5ms, described subregion a comprises at most 848 chip, described subregion b comprises at most 48 chip, and described subregion c comprises at most 64 chip, and described subregion d comprises at most 96 chip.

The frequency-sweeping apparatus of 28. mobile terminals as claimed in claim 15, described gain compensation comprises: the gain compensation on automatic gain control and compensation and link.

29. 1 kinds of baseband chips, is characterized in that, comprise the frequency-sweeping apparatus of the mobile terminal described in claim 15 to 28 any one.

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