CN101340687B - Sequential detection method and apparatus for intelligent antenna RF terminal cable - Google Patents

Abstract

The invention discloses a cable sequence detecting method of an intelligent antenna RF head and a device thereof. The method of the invention comprises the steps: step1.a base station respectively detects cable sequences of a user at different time; step 2.the detected cable sequences are matched so as to judge that whether a unanimous cable sequence exists; step 3. the cable sequence with maximum matching times and the cable sequence with maximum occurrence times are determined; step 4.the cable sequence with maximum matching times and occurrence times is determined as a final detecting cable sequence. The invention is capable of effectively resolving the problem of RF cable connection order detection in the realization of intelligent antenna engineering implementation; in the condition of effectively controlling calculation complexity, the detecting sequence of a current cable can be detected precisely, thus improving the correctness of detecting algorithm.

Description

Intelligent antenna RF order of cables detection method and device

Technical field

The present invention relates to wireless communication system, particularly relate to the intelligent antenna outdoor unit radio-frequency head is adopted in synchronous code division multiple access (CDMA) communication system method for detecting cable connection and device.

Background technology

The spatial character and the Digital Signal Processing of the transmission of smart antenna using signal, can realize that the up link ripple reaches angle (direction of arrival, DOA) estimation and down beam shaping, thus reach the purpose that reduces interference, increase capacity, expansion covering, improves communication quality, reduction transmitting power and raising wireless data transmission rate.

Under certain user moving speed condition, for the synchronous CDMA communications system that adopts time division duplex (TDD) mode, its upper and lower channel satisfies symmetrical requirement, if adopt smart antenna, the up DOA that then can realize each user according to the channel estimating of aerial array correspondence estimates, and then finish down beam shaping, solve problems such as anti-multipath interference and anti-multiple access interference preferably.

Therefore, in 3-G (Generation Three mobile communication system), TD SDMA (TD-SDMA) is the prominent example of applying intelligent antenna technology.

Because intelligent antenna array generally adopts multiaerial system, therefore with being connected in the work progress of outdoor radio-frequency front-end unit, the situation that the order of connection makes a mistake appears through regular meeting, this will influence the performance and the gain of antenna system greatly.And existing solution is confined to manually recognize context of detection mostly, not only is difficult to control on accuracy, and has had a strong impact on the construction speed of base station.

So, the detection efficiency of the outdoor radio-frequency front-end of the raising antenna system unit cable order of connection, the correctness that assurance detects has become problem demanding prompt solution.

Summary of the invention

The invention provides a kind of intelligent antenna RF order of cables detection method and device, the joint detection scheme that provides the intelligent antenna array of TD-SCDMA system and outdoor radio-frequency front-end cable is to improve existing manual detection means.Thereby make the TD-SCDMA system accurately confirm and finish the detection of the outdoor radio-frequency front-end unit cable order of connection under with the cost of small system resources.

To achieve these goals, the invention provides a kind of intelligent antenna RF order of cables detection method, be used for smart antenna communication system, comprising:

Step 1, base station detect in difference line preface constantly each user respectively;

Step 2 is mated detected described line preface, to judge whether to exist consistent line preface;

Step 3 is determined line preface and the maximum line preface of occurrence number that matching times is maximum;

Step 4, for matching times at most and occurrence number mostly be the line preface of same line preface most, regard as final detection line preface.

Also comprise before the described step 1:

The uplink channel estimation data are gathered in the base station, determine described channel post-processing thresholding;

According to described channel post-processing thresholding, described uplink channel estimation data are carried out reprocessing, obtain up channel reprocessing data.

Described step 1 further comprises:

Step 101 is obtained the channel space arrangement information according to described up channel reprocessing data;

Step 102, all arrangement modes of traversal antenna weights sequence obtain the antenna alignment directional information;

Step 103 according to described channel space arrangement information and described antenna alignment directional information, is determined each self-corresponding maximal received power of different arrangement modes;

Step 104 determines that the putting in order of maximum correspondence in the maximal received power of described different arrangement mode correspondences is described user's line preface.

Described uplink channel estimation data are the channel impulse response estimation matrix H ^(k),

Described reprocessing is for according to described H ^(k)Calculate the power P (w) of every paths, If the power in this path surpasses this channel post-processing thresholding, keep this path, the power that removes the path is greater than other path zero setting the path of reprocessing thresholding, to constitute the channel impulse response estimation matrix after the processing

Described channel space arrangement information is R _H(k): $R_H^{\left(k\right)}={\stackrel{\‾}{H}}^{\left(k\right)}\·{\left({\stackrel{\‾}{H}}^{\left(k\right)}\right)}^H=\left\{r_{m,n}^{\left(k\right)}\right\}{|}_{m,n=\mathrm{0,1},...,K_a-1};$

Wherein, K _aThe expression number of antennas, W represents that channel estimation window is long, and k represents the user, and w represents the position of estimating window internal diameter.

Described antenna weights sequence is: $D=a\left(\mathrm{\θ}\right)=\left(\begin{array}{cccc}1& e^{-j\frac{2\mathrm{\πd}}{\mathrm{\λ}}\sin \left(\mathrm{\θ}\right)}& ...& e^{-j\frac{2\mathrm{\πd}}{\mathrm{\λ}}(\mathrm{Ka}-1)\sin \left(\mathrm{\θ}\right)}\end{array}\right)$

Wherein θ is arrival bearing, and d is an array element distance, and λ is a wavelength;

Described antenna alignment directional information is the antenna weight coefficient matrix that all possible arrangement of antenna weights sequence constitutes.

Described step 103 comprises:

Determine the step of the received power P (m) of different arrangement modes,

P(m)＝(D(m)) ^HR _H(m)D(m)；

Determine the peaked step of the received power P (m) of different arrangement modes;

Wherein, D (m) is described antenna weight coefficient matrix, m=1, and 2 ..., Ka!

Described step 2 further comprises:

The described line preface of intersection contrast when any two line preface testing results are consistent, is recorded in this line preface in the one line preface matching list, and the record matching times.

The step of determining the line preface that matching times is maximum in the described step 3 further comprises:

Step 301 judges whether described line preface matching list is empty, if, carry out and restart the step of detection, if not, execution in step 302;

Step 302 is determined the maximum line preface of matching times in the described line preface matching list;

Whether step 303 judges the pairing line preface of matching times maximum in the described line preface matching list greater than a kind of, if, carry out and restart the step of detection, if not, execution in step 304;

Step 304 writes down the maximum line preface of described matching times.

The step of determining the line preface that occurrence number is maximum in the described step 3 further comprises:

Detect in each user's the described line preface, arrange from big to small, come the line preface in the scope of setting ranking, determine the maximum line preface of occurrence number in this scope by maximal received power.

Described step 4 also comprises: the correct order of connection of described final detection line preface and acquiescence is compared, if inconsistent miscue and the incorrect link position of providing.

The described step that restarts detection comprises:

Judge and detect the thresholding number of times whether number of times has reached setting, if, assert that detected line preface is invalid, if not, adjust original position and time interval length, re-execute described step 1.

The invention also discloses a kind of intelligent antenna RF order of cables checkout gear, be arranged in the base station detection system of smart antenna communication system, comprising:

One line preface detection module is used for each user is detected respectively in difference line preface constantly;

One line preface matching module is used for detected described line preface is mated, to judge whether to exist consistent line preface;

One line preface determination module is used for determining maximum line preface and the maximum line prefaces of occurrence number of matching times;

One final detection line preface is assert module, be used for matching times at most and occurrence number mostly be the line preface of same line preface most, confirm as final detection line preface.

Scheme disclosed in this invention has following technique effect:

1. the radio frequency cable order of connection that has effectively solved during intelligent antenna project realizes detects problem;

2. utilize empty window method self adaptation to determine the channel post-processing thresholding, under the situation of effectively controlling computation complexity, can accurately detect the detection order of current cable;

3. by adopting the check algorithm of testing result coupling, improved the correctness of detection algorithm.

Description of drawings

Fig. 1 (a), Fig. 1 (b) are the arrangement mode schematic diagram of intelligent antenna array of the present invention;

Fig. 2 is the overall flow figure of detection method of the present invention;

Fig. 3 is the overall flow figure of detection method of the present invention;

Fig. 4 is the specific implementation process flow diagram of step 303;

Fig. 5 is the structural representation of checkout gear of the present invention.

Embodiment

Below cooperate embodiment and accompanying drawing, describe technical characterictic of the present invention in detail.

Intelligent antenna RF order of cables detection method of the present invention is applicable to any intelligent antenna array, for example the linear array of many antennas or circle battle array.Be depicted as the arrangement mode schematic diagram of the intelligent antenna array of using detection method of the present invention as Fig. 1 (a), Fig. 1 (b).With 8 antennas is example, is depicted as 8 antennas circle battle array as Fig. 1 (a), is depicted as 8 antenna linear arrays as Fig. 1 (b).

In the TD-SCDMA system, be connected by radio frequency coaxial-cable between intelligent antenna array and the outdoor radio-frequency front-end unit, the detection method at this cable order of connection of the present invention has adopted the matching detection method of multi-user's multi-angle.Owing to connect under the definite situation of preface at the radio-frequency head cable, Any user carries out in any angle that the detected correct line preface of single subscriber cable detection algorithm all should be consistent, so utilize this basic principle to detect many group different users in difference line preface constantly, utilize repeating of correct line preface, thereby accurately locate order of cables (line preface).

See also the overall flow figure of Fig. 2, comprise the steps: for detection method of the present invention

Step 201 utilizes single subscriber cable sequence detection method to detect a plurality of users in difference line preface constantly;

Step 202, structural line preface matching list;

Step 203 is determined in this line preface matching list the line preface that matching times is maximum;

Step 204 is determined in each user's the line preface line preface that occurrence number is maximum;

Step 205 contrasts maximum line preface of described matching times and the maximum line preface of described occurrence number, to determine the current cable order of connection.

Describe specific implementation process of the present invention in detail below in conjunction with embodiment.See also the detail flowchart of Fig. 3 for detection method of the present invention.Present embodiment is that example describes with linear array array, two users.Step 300 is gathered the uplink channel estimation data, determines user's window position, utilizes empty window method to determine the channel post-processing thresholding.

Gather the uplink channel estimation data at the base station end, at the TD-SCDMA communication system, k user is expressed as through channel impulse response (CIR) estimated matrix after the channel estimating:

(1) K in the formula _aExpression base station array antenna number, W represents that channel estimation window is long.

According to the data computation reprocessing thresholding of being gathered.If P _Max1, P _Max2Be respectively the power of two users' the interior maximum diameter of user's estimating window, then $P_{\max }=\frac{P_{\max 1}+P_{\max 2}}{2}$ For user's estimating window maximum diameter power, also there is noise path in user's estimating window, establish

Be the power ratio of user's estimating window maximum diameter and noise path, and suppose that user's estimating window is positioned at preceding two windows, then

$\widetilde{\mathrm{\η}}=\frac{\underset{i=1}{\overset{M}{\mathrm{\Σ}}}{\left(P_{\max }\right)}_i}{\underset{i=1}{\overset{M}{\mathrm{\Σ}}}\left(\frac{1}{(K-2)W}\underset{n=2W+1}{\overset{\mathrm{KW}}{\mathrm{\Σ}}}{\left|H_i\left(n\right)\right|}^2\right)}---\left(2\right)$

Wherein, (P _Max) _iBe user's window maximum diameter performance number of i group channel impulse response CIR data correspondence, H represents the channel impulse response CIR data that collect, and W represents the length of estimating window, and K represents the number of all estimating windows, and M represents the number of the CIR data that collect.

The power ratio average threshold parameter of this user's window maximum diameter power and noise path

Wherein

Expression rounds downwards.

Through fortran, obtain channel post-processing thresholding as follows:

$P_{\mathrm{thr}}=\frac{\mathrm{\η}}{M(K-2)W}\underset{i=1}{\overset{M}{\mathrm{\Σ}}}\underset{n=2W+1}{\overset{\mathrm{KW}}{\mathrm{\Σ}}}{\left|H_i\left(n\right)\right|}^2---\left(3\right)$

Step 301 is carried out channel post-processing according to described channel post-processing thresholding to described uplink channel estimation data.

According to described channel post-processing thresholding this CIR estimated matrix is carried out channel post-processing with the filtering noise footpath, the concrete grammar of employing is to adopt antenna level and smooth, according to H ^(k)Calculate the power P on every paths:

$P\left(w\right)=\underset{k_a=1}{\overset{\mathrm{Ka}}{\mathrm{\Σ}}}{\left|H_w^{(k,k_a)}\right|}^2---\left(4\right)$

Wherein w represents the position in the footpath in user's estimating window.From P, choose maximum P _Max, with signal footpath threshold power P _ThrCompare, power keeps this footpath during greater than threshold value, and other footpaths all are changed to 0 in the estimating window, thereby obtain the CIR estimated matrix H after the channel post-processing ^(k)If less than threshold value, think that then these group data are invalid, enter next group data; When the valid data that are used for detecting reach the predetermined threshold number or contrasted all image data numbers, enter next user's testing process.

Step 302 is determined in described original position and sampling interval time span through extracted data in the data of channel post-processing, and will be detected the number of times counter O reset.

For multi-user's multi-angle matching detection, need at first to determine the original position of detection, set the time span of assay intervals.Suppose that the sampling interval time span is N, that is, from the described process data of channel post-processing, extract one group of data every time N.

Step 303, base station utilize single subscriber cable sequence detection method to carry out the search of dimensional energy according to the uplink channel estimation data of the channel reprocessing of being extracted, to determine each user's line preface respectively.

Consult the specific implementation process flow diagram that Figure 4 shows that step 303.

Step 401 according to the uplink channel estimation data of described channel reprocessing, is obtained the channel space arrangement information.

Utilize and handle this CIR estimated matrix H that obtains ^(k)Can further obtain a channel space arrangement information, i.e. a space covariance matrix:

$R_H^{\left(k\right)}={\stackrel{\‾}{H}}^{\left(k\right)}\·{\left({\stackrel{\‾}{H}}^{\left(k\right)}\right)}^H=\left\{r_{m,n}^{\left(k\right)}\right\}{|}_{m,n=\mathrm{0,1},...{,K}_a-1}---\left(5\right)$

Promptly finally obtain this size and be Ka * Ka channel correlation matrix Rxx, wherein Ka is a number of antennas.

Step 402, the constructing antennas weight coefficient matrix.

The antenna weight coefficient is used to control the directivity of this intelligent antenna array.With the even linear array is example, and user antenna weight coefficient D is as follows in the antenna system:

$D=a\left(\mathrm{\θ}\right)=\left(\begin{array}{cccc}1& e^{-j\frac{2\mathrm{\πd}}{\mathrm{\λ}}\sin \left(\mathrm{\θ}\right)}& \·\·\·& e^{-j\frac{2\mathrm{\πd}}{\mathrm{\λ}}(\mathrm{Ka}-1)\sin \left(\mathrm{\θ}\right)}\end{array}\right)---\left(6\right)$

Wherein θ is arrival bearing, and d is an array element distance, and λ is a wavelength;

Ka all possible putting in order of element among the traversal D (have Ka! Kind may), the antenna weight coefficient matrix D_coff that obtains rearranging, its size be Ka! * Ka.This antenna weight coefficient matrix is promptly represented the antenna alignment directional information of smart antenna.

Step 403 is determined the maximum of the received power of different arrangement mode correspondences by space search.

Beam space is divided into L zone equably, and the 1st ripple in each zone reaches the pre-defined θ of being in angle _l, utilize formula (6) to calculate each θ again _lPairing antenna weight coefficient D_coff matrix D ₁, then utilize formula (5) as can be known, each area relative received power:

P ₁(k)＝(D ₁(k)) ^HR _xxD ₁(k) (7)

K=1 wherein, 2 ..., Ka! , D ₁(k) expression D ₁In the capable weights of k, promptly corresponding to the k kind arrangement mode of intelligent antenna array.

At every kind of arrangement mode D ₁(k) find out maximum max (P in _k(l)), be recorded in k the position of sequence Power_max, be illustrated in the maximal received power of area of space under this arrangement mode.

Step 404 is obtained the accurate order of connection.

Length be Ka! Sequence Power_max in find the power maximum, this pairing position of power maximum is designated as Location, the one cable order of connection of current outdoor radio-frequency front-end unit that can corresponding expression channel correlation matrix Rxx correspondence promptly obtains this user's line preface testing result.

By the method for step 401-404, can distinguish and independently detect each user in difference line preface constantly.

Step 304 is compared each user in difference line preface testing result constantly, structural line preface matching list.

The scheme of this comparison for example can adopt first group of testing result of user 1 and last group testing result of user 1 to compare, and last of first group of testing result of user 2 and user 2 organized the way of contrast that intersects that testing result compares.This mode can effectively be simulated the line preface of different user at difference moment diverse location, can also avoid reducing faulted line preface matching probability because the inconsistent situation of user's valid data number that channel post-processing causes can effectively improve detection probability.

When any two line preface testing results are consistent, this line preface write down in the online preface matching list, and write down its matching times.Implementation procedure for example is:

If ${\mathrm{Location}}_k^{\left(t\right)}={\mathrm{Location}}_k^{(T-t)}$

then Location_num(l)＝Location_num(l)+1

Wherein k represents the user, and T represents all moment numbers of detection line preface; The matching number of Location_num (l) expression line preface l correspondence, its initial value is 0.

By all testing results of all users relatively, construct the line preface matching list that records match condition, and write down the number of each line preface coupling.

Step 305 judges whether line preface matching list is empty, if, execution in step 312, if not, execution in step 306.

Step 306 is determined the maximum line preface of matching times in the line preface matching list.

Select the maximum line preface of matching times in the line preface matching list, be the detection line preface.

$\mathrm{Location}\_\mathrm{final}=\underset{l}{\max }(\mathrm{Location}\_\mathrm{num})---\left(8\right)$

That is, Location_final is the detection line preface.

Whether step 307 judges the pairing line preface of matching times maximum in this line preface matching list greater than a kind of, if, execution in step 312, if not, execution in step 308.

Step 308 writes down the maximum line preface of this matching times.

Step 309 after step 303, is also carried out the step of the line preface of determining that occurrence number is maximum simultaneously.

In the statistic procedure 303, in the separate single user that difference is carried out constantly detected, space maximal received power rank was in preceding some scope, and former 100 is by name routine.Determine the line preface that occurrence number is maximum in this scope.

Step 310 judges whether the maximum line preface of maximum line preface of described matching times and occurrence number is consistent, if, assert that this line preface is final detection line preface, the just current cable order of connection, execution in step 311, if not, execution in step 312.

Step 311 compares the correct order of connection of this line preface and acquiescence, miscue and output error link position occur providing when inconsistent.

Step 312 is assert no matched line preface, and these group up channel data are invalid, restart detection.

Step 313 judges whether to reach the thresholding of number of repetition, if, execution in step 314, if not, execution in step 315.

Step 314 detects and still not to have the matched line preface after number of times reaches predefined thresholding number, thinks that then these group data are invalid, need the outfield again image data detect.

Step 315, reset extracted data original position and sampling interval length after, detect again, up to detect the outlet preface or detect number of times reach predefined thresholding till.

Corresponding with above-mentioned detection method, the invention also discloses a kind of intelligent antenna RF order of cables checkout gear, can be arranged in the base station detection system of smart antenna communication system, and then be in the smart antenna communication system.The radio-frequency front-end unit that this smart antenna communication system has intelligent antenna array and is attached thereto, this device of the present invention promptly is used to detect the order of connection between this intelligent antenna array and this radio-frequency front-end unit.

Each module of this device has utilized above-mentioned step 300-315 and step 401-404 to operate just.As shown in Figure 5, be the structural representation of intelligent antenna RF order of cables checkout gear of the present invention.

Intelligent antenna RF order of cables checkout gear 50, comprise seven modules, be respectively: line preface detection module 501, line preface matching module 502, line preface determination module 503, final detection line preface are assert module 504, channel post-processing module 505, determine detected parameters module 506, are restarted module 507.

Channel post-processing module 505 is used to utilize empty window method and determines the channel post-processing thresholding according to user's window position, and the uplink channel estimation data of being gathered carried out reprocessing, execution in step 300-301.

Determine detected parameters module 506, be used to set detected parameters, execution in step 302.

Line preface detection module 501 is used for each user is detected respectively in difference line preface constantly; Execution in step 303.

Line preface matching module 502 is used for detected described line preface is mated, to judge whether to exist consistent line preface; Execution in step 304.Line preface determination module 503 is used for determining maximum line preface and the maximum line prefaces of occurrence number of matching times; Execution in step 305-309.

Final detection line preface is assert module 504, be used for matching times at most and occurrence number mostly be the line preface of same line preface most, confirm as final detection line preface; Execution in step 310-311.

Restart module 507, be used for situation, detect again in no matched line preface; Execution in step 312-315.

Line preface detection module 501 further specifically comprises a channel space arrangement information acquisition module 5011, in order to execution in step 401; One antenna weight coefficient matrix constructing module 5012 is in order to execution in step 402; One receives maximum power determination module 5013, in order to execution in step 403; One order of connection acquisition module 5014 is in order to execution in step 404.Concrete implementation sees also aforementioned.

The invention solves antenna system and in practical engineering application realizes, be badly in need of the order of cables detection problem of solution, and have following characteristics:

(1) by adopting the check algorithm of testing result coupling, sliding filtering noise disturbs, and the error of calculation is little, and computation complexity is low;

(2) utilize empty window method self adaptation to determine the channel post-processing thresholding, be applicable to various channel circumstances;

(3) can judge whether the cable order of connection is correct, and when making a mistake, determine the incorrect link position, be convenient to timely correction.

In sum, the outdoor radio-frequency front-end of smart antenna proposed by the invention unit cable joint detection algorithm stability and high efficiency is beneficial to Project Realization.The present invention is applicable to the communication system that all adopt intelligent antenna technology.The above embodiment of the present invention only is used to describe implementation procedure of the present invention, not in order to limit scope of patent protection of the present invention.Scope of patent protection should be as the criterion with claims.

Claims (10)

1. an intelligent antenna RF order of cables detection method is used for smart antenna communication system, it is characterized in that, comprising:

Step 1, base station detect in difference line preface constantly each user respectively;

Step 2 is mated detected described line preface, to judge whether to exist consistent line preface;

Step 3 is determined line preface and the maximum line preface of occurrence number that matching times is maximum;

Step 4, for matching times at most and occurrence number mostly be the line preface of same line preface most, regard as final detection line preface.

2. the method for claim 1 is characterized in that, also comprises before the described step 1:

The uplink channel estimation data are gathered in the base station, determine described channel post-processing thresholding;

According to described channel post-processing thresholding, described uplink channel estimation data are carried out reprocessing, obtain up channel reprocessing data;

Described step 1 further comprises:

Step 101 is obtained the channel space arrangement information according to described up channel reprocessing data;

Step 102, all arrangement modes of traversal antenna weights sequence obtain the antenna alignment directional information;

Step 103 according to described channel space arrangement information and described antenna alignment directional information, is determined each self-corresponding maximal received power of different arrangement modes;

Step 104 determines that the putting in order of maximum correspondence in the maximal received power of described different arrangement mode correspondences is described user's line preface;

Described uplink channel estimation data are the channel impulse response estimation matrix H ^(k),

Described reprocessing is for according to described H ^(k)Calculate the power P (w) of every paths,

If the power in this path surpasses this channel post-processing thresholding, keep this path, the power that removes the path is greater than other path zero setting the path of reprocessing thresholding, to constitute the channel impulse response estimation matrix after the processing

Described channel space arrangement information is R _H(k): $R_H^{\left(k\right)}={\stackrel{\‾}{H}}^{\left(k\right)}\·{\left({\stackrel{\‾}{H}}^{\left(k\right)}\right)}^H=\left\{r_{m,n}^{\left(k\right)}\right\}{|}_{m,n=\mathrm{0,1},...,K_a-1};$

Wherein, K _aThe expression number of antennas, W represents that channel estimation window is long, and k represents the user, and w represents the position of estimating window internal diameter.

3. method as claimed in claim 2 is characterized in that,

Described antenna weights sequence is: $D=a\left(\mathrm{\θ}\right)=\left(\begin{array}{cccc}1& e^{-j\frac{2\mathrm{\πd}}{\mathrm{\λ}}\sin \left(\mathrm{\θ}\right)}& ...& e^{-j\frac{2\mathrm{\πd}}{\mathrm{\λ}}(\mathrm{Ka}-1)\sin \left(\mathrm{\θ}\right)}\end{array}\right)$

Wherein θ is arrival bearing, and d is an array element distance, and λ is a wavelength;

Described antenna alignment directional information is the antenna weight coefficient matrix that all possible arrangement of antenna weights sequence constitutes.

4. method as claimed in claim 3 is characterized in that, described step 103 comprises:

Determine the step of the received power P (m) of different arrangement modes,

P(m)＝(D(m)) ^HR _H(m)D(m)；

Determine the peaked step of the received power P (m) of different arrangement modes;

Wherein, D (m) is described antenna weight coefficient matrix, m=1, and 2 ..., Ka!

5. as claim 1,2 or 4 described methods, it is characterized in that described step 2 further comprises:

The described line preface of intersection contrast when any two line preface testing results are consistent, is recorded in this line preface in the one line preface matching list, and the record matching times.

6. method as claimed in claim 5 is characterized in that, determines in the described step 3 that the step of the line preface that matching times is maximum further comprises:

Step 301 judges whether described line preface matching list is empty, if, carry out and restart the step of detection, if not, execution in step 302;

Step 302 is determined the maximum line preface of matching times in the described line preface matching list;

Whether step 303 judges the pairing line preface of matching times maximum in the described line preface matching list greater than a kind of, if, carry out and restart the step of detection, if not, execution in step 304;

Step 304 writes down the maximum line preface of described matching times.

7. as claim 1,2,4 or 6 described methods, it is characterized in that, determine in the described step 3 that the step of the line preface that occurrence number is maximum further comprises:

Detect in each user's the described line preface, arrange from big to small, come the line preface in the scope of setting ranking, determine the maximum line preface of occurrence number in this scope by maximal received power.

8. as claim 1,2,4 or 6 described methods, it is characterized in that described step 4 also comprises: the correct order of connection of described final detection line preface and acquiescence is compared, if inconsistent miscue and the incorrect link position of providing.

9. method as claimed in claim 6 is characterized in that, the described step that restarts detection comprises:

Judge and detect the thresholding number of times whether number of times has reached setting, if, assert that detected line preface is invalid, if not, adjust original position and time interval length, re-execute described step 1.

10. an intelligent antenna RF order of cables checkout gear is arranged in the base station detection system of smart antenna communication system, it is characterized in that, comprising:

One line preface detection module is used for each user is detected respectively in difference line preface constantly;

One line preface matching module is used for detected described line preface is mated, to judge whether to exist consistent line preface;

One line preface determination module is used for determining maximum line preface and the maximum line prefaces of occurrence number of matching times;

One final detection line preface is assert module, be used for matching times at most and occurrence number mostly be the line preface of same line preface most, confirm as final detection line preface.

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