CN107276591A - The mismatch error method of estimation and system of a kind of parallel sampling system - Google Patents
The mismatch error method of estimation and system of a kind of parallel sampling system Download PDFInfo
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- CN107276591A CN107276591A CN201710467857.8A CN201710467857A CN107276591A CN 107276591 A CN107276591 A CN 107276591A CN 201710467857 A CN201710467857 A CN 201710467857A CN 107276591 A CN107276591 A CN 107276591A
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
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- H03M1/1071—Measuring or testing
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- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
- H03M1/1205—Multiplexed conversion systems
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Abstract
The invention discloses the mismatch error method of estimation and system of a kind of parallel sampling system.This method includes：Parallel sampling system is obtained when input quantity is the single-point frequency calibration signal of arbitrary phase, the sample sequence of output；Simulation generation parallel sampling system is when input quantity is the single-point frequency calibration signal that phase is 0, the standard sine sample sequence and standard cosine sample sequence of output；The standard sine and cosine sample sequence and default constant are input to sef-adapting filter and carry out adaptive parameter estimation, the weight coefficient and the weight coefficient of the default constant of the corresponding standard sine and cosine sample sequence of each passage of the parallel sampling system is obtained；The mismatch error of the parallel sampling system is calculated according to the weight coefficient of the weight coefficient of the corresponding standard sine and cosine sample sequence of each passage and the default constant.Noise of image can be reduced using the method for estimation and system of the present invention, the interference of the docking collection of letters number is reduced.
Description
Technical field
The present invention relates to the adaptive field of mismatch error, the mismatch error of more particularly to a kind of parallel sampling system is estimated
Method and system.
Background technology
Parallel sampling system (Time-interleavedAnalog to Digital Converter, TIADC) can be due to
The non-ideal characteristic of device, and produce passage biased error, gain error, time-skew error.Three in parallel sampling system
The alignment technique of main error concentrates on the non-blind estimate bearing calibration and blind estimate correction of two big directions, i.e. mismatch error
Method.The non-blind estimate bearing calibration of mismatch error needs periodically acquisition system to be injected pumping signal to obtain the error of system
Parameter, non-blind estimate bearing calibration can influence the real-time that acquisition system works；Blind estimate bearing calibration need not be periodically to adopting
Collecting system injects pumping signal, and the estimation school to systematic error parameter is completed while acquisition system is measured measured signal
Just.
The mode of closed loop is taken in existing blind estimate bearing calibration mostly in the estimation procedure of three main errors
Carry out parameter Estimation, although blind estimate bearing calibration periodically need not inject pumping signal to acquisition system, but existing blind
Estimate that the sampling number that bearing calibration needs is very more, once estimate that the sampling number that trimming process needs is most more than 10000
Individual and computationally intensive, this calculating to acquisition system and storage all generate higher requirement, are not suitable in hand-held oscillograph
Used in this kind of portable instrument；In fact for the good TIADC systems of a hardware design, three mismatch errors of system are not
Meeting acute variation within the short time, non-blind estimate bearing calibration calculates the systematic parameter of acquisition certain after once correcting
The lifting of signal to noise ratio can be still brought within time for whole TIADC systems, but existing non-blind estimate bearing calibration is only
The mismatch error parameter in TIADC systems in specific passage can be directed to be estimated, convergence many with sampling number is there is
Speed is slow, the problem of computationally intensive, so that parallel sampling system noise of image is excessive, the docking collection of letters number is interfered.
The content of the invention
It is parallel to solve it is an object of the invention to provide the mismatch error method of estimation and system of a kind of parallel sampling system
Mismatch error parameter convergence rate is slow in sampling system, computationally intensive, and parallel sampling system of the prior art can only be for spy
Mismatch error parameter Estimation in routing, and noise of image is excessive, the problem of docking collection of letters number is interfered.
To achieve the above object, the invention provides following scheme：
A kind of mismatch error method of estimation of parallel sampling system, including：
Parallel sampling system is obtained when input quantity is the single-point frequency calibration signal of arbitrary phase, the sample sequence of output,
The output channel of parallel sampling system is multiple；
Simulation generation parallel sampling system is when input quantity is the single-point frequency calibration signal that phase is 0, and the standard of output is just
String sample sequence and standard cosine sample sequence；
The standard sine sample sequence, the standard cosine sample sequence and default constant are input to adaptive filter
Ripple device carries out adaptive parameter estimation, when the output of the parallel sampling system is equal with the output of the sef-adapting filter
When, obtain the weight coefficient of the corresponding standard sine sample sequence of each passage of the parallel sampling system, the standard
The weight coefficient of the weight coefficient of cosine sample sequence and the default constant；
According to the weight coefficient of the corresponding standard sine sample sequence of each passage, the standard cosine sample sequence
The weight coefficient of weight coefficient and the default constant calculates the mismatch error of the parallel sampling system, the mismatch error
Including passage biased error, time-skew error and gain error.
Optionally, the weight coefficient according to the corresponding standard sine sample sequence of each passage, more than the standard
The weight coefficient of the weight coefficient of string sample sequence and the default constant calculates the mismatch error of the parallel sampling system,
Specifically include：
It is reference channel by any bar path setting of the parallel sampling system, the passage except the reference channel is set
It is set to TCH test channel；
Utilize formulaThe passage biasing is calculated to miss
Difference；Wherein, it is describedFor passage biased error, the W3_i[n] is the power of the corresponding default constant of the TCH test channel
Weight coefficient, the W3_1[n] is the weight coefficient of the corresponding default constant of the reference channel, and the i represents the i-th passage,
The M represents the total number of channels of the parallel sampling system.
Optionally, the weight coefficient according to the corresponding standard sine sample sequence of each passage, more than the standard
The weight coefficient of the weight coefficient of string sample sequence and the default constant calculates the mismatch error of the parallel sampling system,
Specifically include：
Obtain the fixed phase of the single-point frequency calibration signal of the reference channel input
Formula is utilized according to the fixed phaseCalculate the time phase
Error；Wherein, it is describedIt is described for time-skew errorThe single-point frequency calibration signal inputted for TCH test channel
Test phase, the W2_i[n] is the weight coefficient of the corresponding standard cosine sample sequence of the TCH test channel, the W1_i[n]
For the weight coefficient of the corresponding standard sine sample sequence of the TCH test channel.
Optionally, the weight coefficient according to the corresponding standard sine sample sequence of each passage, more than the standard
The weight coefficient of the weight coefficient of string sample sequence and the default constant calculates the mismatch error of the parallel sampling system,
Specifically include：
Utilize formulaCalculate the gain error；Its
In, it is describedIt is described for the gain errorTo eliminate the passage biased error of the TCH test channel and described
The sample sequence exported after time-skew error, the X1q(n) sample sequence exported for the reference channel.
A kind of mismatch error estimating system of parallel sampling system, including：
Sample sequence acquisition module, believes for obtaining parallel sampling system and being calibrated in input quantity for the single-point frequency of arbitrary phase
Number when, the sample sequence of output, the output channel of parallel sampling system is multiple；
Standard sample retrieval module, is the single-point that phase is 0 for simulating generation parallel sampling system in input quantity
During frequency calibration signal, the standard sine sample sequence and standard cosine sample sequence of output；
Weight coefficient acquisition module, for by the standard sine sample sequence, the standard cosine sample sequence and
Default constant be input to sef-adapting filter carry out adaptive parameter estimation, when the parallel sampling system output with it is described from
When the output of adaptive filter is equal, the corresponding standard sine sample sequence of each passage of the parallel sampling system is obtained
Weight coefficient, the weight coefficient of the weight coefficient of the standard cosine sample sequence and the default constant；
Mismatch error computing module, for the weight coefficient according to the corresponding standard sine sample sequence of each passage,
The weight coefficient of the weight coefficient of the standard cosine sample sequence and the default constant calculates the parallel sampling system
Mismatch error, the mismatch error include passage biased error, time-skew error and gain error.
Optionally, the mismatch error computing module, is specifically included：
Passage definition unit, for being reference channel by any bar path setting of the parallel sampling system, will remove institute
The path setting for stating reference channel is TCH test channel；
Passage biased error computing unit, for utilizing formula
Calculate the passage biased error；Wherein, it is describedFor passage biased error, the W3_i[n] is TCH test channel correspondence
The default constant weight coefficient, the W3_1[n] is the weight system of the corresponding default constant of the reference channel
Number, the i represents the i-th passage, and the M represents the total number of channels of the parallel sampling system.
Optionally, the mismatch error computing module, is specifically included：
Fixed phase obtains subelement, the reference of the single-point frequency calibration signal for obtaining the reference channel input
Phase
Time-skew error computation subunit, for utilizing formula according to the fixed phase
Calculate the time-skew error；Wherein, it is describedIt is described for time-skew errorDescribed in TCH test channel input
The test phase of single-point frequency calibration signal, the W2_i[n] is the weight of the corresponding standard cosine sample sequence of the TCH test channel
Coefficient, the W1_i[n] is the weight coefficient of the corresponding standard sine sample sequence of the TCH test channel.
Optionally, the mismatch error computing module, is specifically included：
Gain error computation subunit, for utilizing formula
Calculate the gain error；Wherein, it is describedIt is described for the gain errorTo eliminate the institute of the TCH test channel
State the sample sequence exported after passage biased error and the time-skew error, the X1q(n) exported for the reference channel
Sample sequence.
The specific embodiment provided according to the present invention, the invention discloses following technique effect：The present invention is for input
Single-point frequency calibration signal generates sine amplitude sample sequence and cosine sample sequence, by the sine amplitude sample sequence and cosine sample sequence
It is input in sef-adapting filter, calculates the weight coefficient for obtaining every passage, calculating every according to the weight coefficient tried to achieve leads to
Road relative to reference channel mismatch error parameter, the mismatch error parameter include passage biased error, time-skew error
And gain error, in concrete practice, the passage of mismatch error method of estimation of the invention and system to parallel sampling system
Quantity is not limited, and the estimation to mismatch error parameter can be completed by needing only to 128 sampled datas per passage, relative to existing
There is the amount of calculation in mismatch error parameter estimation procedure of the mismatch error method for parameter estimation in technology small, fast convergence rate, from
And noise of image is reduced, reduce the interference of the docking collection of letters number.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings
Obtain other accompanying drawings.
The mismatch error method of estimation flow chart that Fig. 1 is provided by the embodiment of the present invention；
Fig. 2 is used for the schematic diagram that mismatch error is estimated by what the embodiment of the present invention was provided；
The structure chart for the mismatch error estimating system that Fig. 3 is provided by the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
It is an object of the invention to provide the mismatch error method of estimation and system of a kind of parallel sampling system, it is possible to increase simultaneously
Mismatch error parameter convergence rate in row sampling system, reduces amount of calculation, realizes the mismatch error parameter Estimation of multichannel.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
The mismatch error method of estimation flow chart that Fig. 1 is provided by the embodiment of the present invention, as shown in figure 1, one kind is adopted parallel
The mismatch error method of estimation of sample system, including：
Step 101：Parallel sampling system is obtained when input quantity is the single-point frequency calibration signal of arbitrary phase, output is adopted
Sample sequence, the output channel of parallel sampling system is multiple；To multichannel TIADC systems input certain amplitude, arbitrary phase and
The single-point frequency calibration signal of certain frequency：
X (t)=Asin (2 π fint+φ)
Wherein, X (t) is single-point frequency calibration signal, and the frequency requirement of input calibration signal is fin＜ fs/ 2M, fsFor TIADC
The total sampling rate of system, finFor the frequency of input test signal, A is the amplitude of test signal, and φ is the phase angle of test signal.
The amplitude of input single-point frequency calibration signal reaches more than half of the input range of the ADC used in TIADC systems.
Then the quantization of the passage of TIADC systems i-th exports Xi[n] is：
M represents TIADC system channels sum, and k represents the i-th passage sample point.aiFor the i-th passage biased error, giFor i-th
The gain error of passage, Δ tiFor the time-skew error of the i-th passage.
Step 102：Simulation generation parallel sampling system is when input quantity is the single-point frequency calibration signal that phase is 0, output
Standard sine sample sequence and standard cosine sample sequence；Simulation generation TIADC systems are in the ideal situation to incoming frequency
For fin, phase is the sine of φ=0 and the sampled data of cosine signal, and will simulate the sampled data deposit TIADC systems of generation
In the memory space of system, Fig. 2 is used for the schematic diagram that mismatch error is estimated, above-mentioned memory space by what the embodiment of the present invention was provided
As shown in EEPROM in Fig. 2, this memory space can be FLASH, random access memory etc. in actual use.Deposit is deposited
Storage space sampled data be
Wherein, fin, fs, k, M, i implication is identical with implication representative in step 101,For simulation generation
Ideally sine amplitude sample sequence,For cosine sample sequence under simulation generated ideal state.
According to trigonometric function and poor formula, the quantization output X of the passage of TIADC systems i-thi[n] and simulation generated ideal
Sine and cosine sample sequence under state isWithMeet following relational expression:
Wherein：
Xi[n] exports for the quantization of the passage of TIADC systems i-th,Respectively simulate generated ideal shape
Sine and cosine sample sequence under state, a, gi,ΔtiFor passage biased error, gain error and time-skew error in step 101.
Step 103：The standard sine sample sequence, the standard cosine sample sequence and default constant are input to
Sef-adapting filter carries out adaptive parameter estimation, when exporting for the parallel sampling system is defeated with the sef-adapting filter
When going out equal, weight coefficient, the institute of the corresponding standard sine sample sequence of each passage of the parallel sampling system are obtained
State the weight coefficient of standard cosine sample sequence and the weight coefficient of the default constant；
Corresponding parameter is inputted to sef-adapting filter, as shown in Fig. 2 wherein,
First input x1_i[n] is standard sine sample sequenceSecond input x2_i[n] is standard cosine
Sample sequence3rd input X3_iIt is constantly equal to 1.
Adaptive parameter estimation process can use following iterative formula to represent in Fig. 2：
Wherein：
din=Xi[n], i=1,2 ... M, yinExpression formula be：
dinX is exported for the quantization of the passage of TIADC systems i-thi[n], WnFor the value of weight coefficient, yinFor weight coefficient and mould
Intend sine amplitude sample sequence under generated ideal stateWith cosine sample sequence under simulation generated ideal state
Linear combination.
)εinWithFor the intermediate variable in calculating process, μ is iteration coefficient, and usual μ takes the value less than predetermined threshold value；
With the minimum rule of mean square error (i.e.Reach minimum) when reaching convergence, the weight coefficient difference in Fig. 2 is near
It is similar to：
Step 104：Adopted according to the weight coefficient of the corresponding standard sine sample sequence of each passage, the standard cosine
The weight coefficient of the weight coefficient of sample sequence and the default constant calculates the mismatch error of the parallel sampling system, described
Mismatch error includes passage biased error, time-skew error and gain error；
Calculate time-skew error and passage biased error：For example, be reference channel with TIADC passages 1, then TIADC systems
Other passages of system are TCH test channel, and the passage biased error and time-skew error of other TCH test channels are：
Wherein,For the phase of i-th of TCH test channel,For passage biased error aiEstimate,For time phase
Position error delta tiEstimate, adjust each weight coefficient, when the estimate of mismatch error is equal with actual mismatch error, disappear
Except time-skew error and passage biased error can regard the estimate of elimination mismatch error as.In actual applications, specifically disappear
Except the process of time-skew error and passage biased error is：Obtained using calculatingWithAnd fraction filtering wave by prolonging time devicePassage biased error and time-skew error are tentatively eliminated, formula is as follows：
Wherein, The sampling sequence exported after the passage biased error and the time-skew error to eliminate the TCH test channel
Row.
Calculate the estimate of gain error：WithFor gain error gi estimate, formula is utilizedRepresent the estimate of gain error, X1q(n) it is the reference channel
The sample sequence of output utilizes formulaEliminate gain error.
The present invention weeds out the frequency caused due to accidentalia or random noise very low sampled point, obtains each and leads to
The biased error in road, is worth to corresponding calibration value, and then complete the biased error school of TIADC systems according to the estimation of error.
So as to improve calibration accuracy, in order to improve calibration accuracy, the present invention uses secondary calibration method, makes calibration result precision more
Height, in concrete practice, mismatch error method of estimation and system of the invention is not limited the number of channels of parallel sampling system
System, the estimation to mismatch error parameter can be completed by needing only to 128 sampled datas per passage, relative to of the prior art
Mismatch error method for parameter estimation amount of calculation in mismatch error parameter estimation procedure is small, fast convergence rate, so as to reduce mirror
As noise, the interference of the docking collection of letters number is reduced.
The structure chart for the mismatch error estimating system that Fig. 3 is provided by the embodiment of the present invention, as shown in figure 3, a kind of parallel
The mismatch error estimating system of sampling system, including：
Sample sequence acquisition module 301, for obtaining parallel sampling system in the single-point frequency school that input quantity is arbitrary phase
During calibration signal, the sample sequence of output, the output channel of parallel sampling system is multiple；
Standard sample retrieval module 302, is the list that phase is 0 for simulating generation parallel sampling system in input quantity
During point frequency calibration signal, the standard sine sample sequence and standard cosine sample sequence of output；
Weight coefficient acquisition module 303, for by the standard sine sample sequence, the standard cosine sample sequence with
And default constant be input to sef-adapting filter carry out adaptive parameter estimation, when the parallel sampling system output with it is described
When the output of sef-adapting filter is equal, the corresponding standard sine sampling sequence of each passage of the parallel sampling system is obtained
The weight coefficient of the weight coefficient of row, the weight coefficient of the standard cosine sample sequence and the default constant；
Mismatch error computing module 304, for the weight system according to the corresponding standard sine sample sequence of each passage
The weight coefficient of several, described standard cosine sample sequence and the weight coefficient of the default constant calculate the parallel sampling system
The mismatch error of system, the mismatch error includes passage biased error, time-skew error and gain error.
In actual applications, the mismatch error computing module, is specifically included：
Passage definition unit, for being reference channel by any bar path setting of the parallel sampling system, will remove institute
The path setting for stating reference channel is TCH test channel；
Passage biased error computing unit, for utilizing formula
Calculate the passage biased error；Wherein, it is describedFor passage biased error, the W3_i[n] is TCH test channel correspondence
The default constant weight coefficient, the W3_1[n] is the weight system of the corresponding default constant of the reference channel
Number, the i represents the i-th passage.
In actual applications, the mismatch error computing module, is specifically included：
Fixed phase obtains subelement, the reference of the single-point frequency calibration signal for obtaining the reference channel input
Phase
Time-skew error computation subunit, for utilizing formula according to the fixed phase
Calculate the time-skew error；Wherein, it is describedIt is described for time-skew errorDescribed in TCH test channel input
The test phase of single-point frequency calibration signal, the W2_i[n] is the weight of the corresponding standard cosine sample sequence of the TCH test channel
Coefficient, the W1_i[n] is the weight coefficient of the corresponding standard sine sample sequence of the TCH test channel.
In actual applications, the mismatch error computing module, is specifically included：
Gain error computation subunit, for utilizing formula
Calculate the gain error；Wherein, it is describedIt is described for the gain errorTo eliminate the institute of the TCH test channel
State the sample sequence exported after passage biased error and the time-skew error, the X1q(n) exported for the reference channel
Sample sequence.
The noise of image that mismatch error is brought can be substantially reduced using mismatch error estimating system provided by the present invention.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other
Between the difference of embodiment, each embodiment identical similar portion mutually referring to.For system disclosed in embodiment
For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part
It is bright.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
The bright method and its core concept for being only intended to help to understand the present invention；Simultaneously for those of ordinary skill in the art, foundation
The thought of the present invention, will change in specific embodiments and applications.In summary, this specification content is not
It is interpreted as limitation of the present invention.
Claims (8)
1. a kind of mismatch error method of estimation of parallel sampling system, it is characterised in that including：
Parallel sampling system is obtained when input quantity is the single-point frequency calibration signal of arbitrary phase, the sample sequence of output, parallel
The output channel of sampling system is multiple；
Simulation generation parallel sampling system is when input quantity is the single-point frequency calibration signal that phase is 0, and the standard sine of output is adopted
Sample sequence and standard cosine sample sequence；
The standard sine sample sequence, the standard cosine sample sequence and default constant are input to sef-adapting filter
Adaptive parameter estimation is carried out, when the output of the parallel sampling system is equal with the output of the sef-adapting filter, is obtained
Weight coefficient, the standard cosine of the corresponding standard sine sample sequence of each passage of the parallel sampling system is taken to adopt
The weight coefficient of the weight coefficient of sample sequence and the default constant；
According to the weight of the weight coefficient of the corresponding standard sine sample sequence of each passage, the standard cosine sample sequence
The weight coefficient of coefficient and the default constant calculates the mismatch error of the parallel sampling system, and the mismatch error includes
Passage biased error, time-skew error and gain error.
2. mismatch error method of estimation according to claim 1, it is characterised in that described according to each passage is corresponding
The power of the weight coefficient of standard sine sample sequence, the weight coefficient of the standard cosine sample sequence and the default constant
Weight coefficient calculates the mismatch error of the parallel sampling system, specifically includes：
It is reference channel by any bar path setting of the parallel sampling system, is by the path setting except the reference channel
TCH test channel；
Utilize formulaCalculate the passage biased error；
Wherein, it is describedFor passage biased error, the W3_i[n] is the weight system of the corresponding default constant of the TCH test channel
Number, the W3_1[n] is the weight coefficient of the corresponding default constant of the reference channel, and the i represents the i-th passage, described
M represents the total number of channels of the parallel sampling system.
3. mismatch error method of estimation according to claim 2, it is characterised in that described according to each passage is corresponding
The power of the weight coefficient of standard sine sample sequence, the weight coefficient of the standard cosine sample sequence and the default constant
Weight coefficient calculates the mismatch error of the parallel sampling system, specifically includes：
Obtain the fixed phase of the single-point frequency calibration signal of the reference channel input
Formula is utilized according to the fixed phaseCalculate the time-skew error；
Wherein, it is describedIt is described for time-skew errorThe test phase of the single-point frequency calibration signal inputted for TCH test channel
Position, the W2_i[n] is the weight coefficient of the corresponding standard cosine sample sequence of the TCH test channel, the W1_i[n] is described
The weight coefficient of the corresponding standard sine sample sequence of TCH test channel.
4. mismatch error method of estimation according to claim 2, it is characterised in that described according to each passage is corresponding
The power of the weight coefficient of standard sine sample sequence, the weight coefficient of the standard cosine sample sequence and the default constant
Weight coefficient calculates the mismatch error of the parallel sampling system, specifically includes：
Utilize formulaCalculate the gain error；Wherein,
It is describedFor the gain error, the X 'iq(n) for eliminate the TCH test channel the passage biased error and it is described when
Between the sample sequence that exports after phase error, the X1q(n) sample sequence exported for the reference channel.
5. a kind of mismatch error estimating system of parallel sampling system, it is characterised in that including：
Sample sequence acquisition module, for obtaining parallel sampling system in the single-point frequency calibration signal that input quantity is arbitrary phase
When, the sample sequence of output, the output channel of parallel sampling system is multiple；
Standard sample retrieval module, is the single-point frequency school that phase is 0 for simulating generation parallel sampling system in input quantity
During calibration signal, the standard sine sample sequence and standard cosine sample sequence of output；
Weight coefficient acquisition module, for by the standard sine sample sequence, the standard cosine sample sequence and default
Constant is input to sef-adapting filter and carries out adaptive parameter estimation, when the parallel sampling system output with it is described adaptive
When the output of wave filter is equal, the power of the corresponding standard sine sample sequence of each passage of the parallel sampling system is obtained
The weight coefficient of weight coefficient, the weight coefficient of the standard cosine sample sequence and the default constant；
Mismatch error computing module, for the weight coefficient according to the corresponding standard sine sample sequence of each passage, described
The weight coefficient of the weight coefficient of standard cosine sample sequence and the default constant calculates the mistake of the parallel sampling system
With error, the mismatch error includes passage biased error, time-skew error and gain error.
6. mismatch error estimating system according to claim 5, it is characterised in that the mismatch error computing module, tool
Body includes：
Passage definition unit, for being reference channel by any bar path setting of the parallel sampling system, will remove the ginseng
The path setting for examining passage is TCH test channel；
Passage biased error computing unit, for utilizing formula
Calculate the passage biased error；Wherein, it is describedFor passage biased error, the W3_i[n] is TCH test channel correspondence
The default constant weight coefficient, the W3_1[n] is the weight system of the corresponding default constant of the reference channel
Number, the i represents the i-th passage, and the M represents the total number of channels of the parallel sampling system.
7. mismatch error estimating system according to claim 6, it is characterised in that the mismatch error computing module, tool
Body includes：
Fixed phase obtains subelement, the fixed phase of the single-point frequency calibration signal for obtaining the reference channel input
Time-skew error computation subunit, for utilizing formula according to the fixed phase
Calculate the time-skew error；Wherein, it is describedIt is described for time-skew errorDescribed in TCH test channel input
The test phase of single-point frequency calibration signal, the W2_i[n] is the weight of the corresponding standard cosine sample sequence of the TCH test channel
Coefficient, the W1_i[n] is the weight coefficient of the corresponding standard sine sample sequence of the TCH test channel.
8. mismatch error estimating system according to claim 6, it is characterised in that the mismatch error computing module, tool
Body includes：
Gain error computation subunit, for utilizing formulaMeter
Calculate the gain error；Wherein, it is describedFor the gain error, the X 'iq(n) it is the described of the elimination TCH test channel
The sample sequence exported after passage biased error and the time-skew error, the X1q(n) exported for the reference channel
Sample sequence.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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