CN1139192C - Adaptive array up receiving method and receiving for radio communication system - Google Patents
Adaptive array up receiving method and receiving for radio communication system Download PDFInfo
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Abstract
The present invention relates to a method and a receiver for up receiving an adaptive array in a radio communication system. Analog signals received by a receiving array are converted into digital signals by analog-to-digital conversion; the digital signals are dispread to obtain array signal data flow; weighting vectors are formed by using the array signals before the dispreading and the array signals after the dispreading, weighting summation forms a wave beam, and the wave beam is conveyed to the corresponding track of a Rake receiver to carry out the maximum ratio combination. The present invention is characterized in that the wave beam of the receiver is formed by using the weighting summation method of an optimized sample array inversion algorithm structure. The present invention can effectively suppress interference and noise, and enhance the capacity and the quality of the radio communication system.
Description
The present invention is applied in wireless communication systems such as radio honeycomb product, Wireless Local Loop, relates to a kind of adaptive approach and receiver thereof that is used for the up receiving array of wireless communication system.
For a long time, wireless communication system is faced with the contradiction between limited utilized frequency spectrum resource and the constantly quick user's request that increases all the time.Therefore people begin to utilize the spatial domain characteristic of channel, adopt the technology such as smart antenna of diversity, sectorization and the nearest employing array antenna that proposes, and can both improve the communication quality of wireless communication system to some extent, have improved power system capacity.
It is mutual incoherent characteristics greater than the signal that different antennae received of 10 carrier wavelengths that diversity is mainly utilized spacing, and the signal that each antenna is received adopts high specific to merge, and system's anti-multipath decline performance is improved.
The sectorization method is that the sub-district is divided into 3,6,9 or 12 sectors, and there are supporting separately antenna and the spectral range that presets in each sector.Sectorization has reduced the cochannel interference to a certain extent, thereby has improved the communication quality of system.
Intelligent antenna technology then forms wave beam by phase place and the amplitude of adjusting signal on a plurality of bays on sense, improve signal quality.The smart antenna method mainly can be divided into two classes, and a class is a switch multi-beam method.These class methods form fixed beam at different directions and cover whole sub-district, and the signal quality of desired signal in each wave beam is detected in the base station, selects best wave beam to receive.
Another kind of important smart antenna method is an adaptive array, and it is weighted merging to the signal that each bay receives adaptively according to certain criterion, and enhancing signal suppresses to disturb and noise, thereby improves the overall performance of wireless system.Common adaptive approach have lowest mean square (LMS), recurrence least square (RLS), the sampling matrix based on minimum mean square error criterion invert (SMI) etc. Shi Fangfa is arranged and based on the blind methods such as sign indicating number filtering of maximum output signal interference ratio criterion.
Deversity scheme needs the spacing big (generally greater than 10 wavelength) between the antenna, so the antenna occupation space is bigger.In addition, though the deversity scheme that adopts high specific to merge has anti-multipath decline effect, can not effectively suppress interference signal.
Common sectorization method is to adopt 3 sectors or 6 sectors, why does not adopt more sector to be because the sector divides manyly more, and the available frequency spectrum resource in each sector is then few more, has reduced junction efficiency, and needs frequent the switching, reduces system effectiveness.
Switch multi-beam method is a kind of suboptimal method of reseptance, and its capability of restraining noise of checking colors is relatively poor.In addition, the switch matrix of existing switch multiple-beam system is realized by the radio-frequency (RF) switch device, has increased the hardware cost of system.
Adaptive array can make systematic function be issued to optimum in certain criterion in theory.Criterion commonly used mostly is minimum mean square error criterion and maximum output signal-to-noise ratio criterion, and the following two kinds of criterions of certain condition are of equal value.During practical application, the amount of calculation of SMI, RLS and most blind methods is all very big, is difficult to realize with existing digital processing chip.Though LMS method operand is little, the convergence rate of method and stability are subjected to the influence of factors such as the selection of signal environment, reference signal and calibration step size serious.
The objective of the invention is in order to overcome the shortcoming of the above-mentioned prior art numerical instability that matrix is directly inverted under low noise, and a kind of method and the receiver thereof that in wireless communication system, adopts the adaptive array reception that operand is low and performance is excellent that proposes, be optimized by method structure standard SMI method, by analysis with simulating, verifying this method have good performance, realizability is strong.
The technical scheme that realizes the object of the invention is: the method for the up receiving array of wireless communication system, the analog signal that every antenna element of receiving array receives is the array digital signal through analog/digital conversion, the despreading of array digital signal process obtains the array signal data flow after the despreading, utilize array data signal after the despreading to form the weighing vector of array, and form wave beam with the array signal weighted sum of the weighing vector that generates after to despreading, signal after wave beam forms is delivered to the corresponding footpath of Rake receiver, in time domain signal is carried out high specific by Rake receiver and merges; It is characterized in that described wave beam adopts to be optimized the invert weighted sum method of structure of sampling matrix and form, and the steps include:
(1) from first time slot, digital beam forms data and pilot frequency sequence or training signal before the despreading that array received that device reads in current time slots successively arrives;
(2) ask average with the signal on array element of current time slots is relevant with pilot frequency sequence or training signal, estimate the channel response of current time slots;
(3) pilot frequency sequence of the channel response of the current time slots of usefulness step (2) estimation and current time slots or training signal generate the reference signal after channel response compensates;
(4) data matrix in the step (1) is extracted a formation sample less data matrix by row with certain sampling interval through data extraction module, utilize this data matrix to generate the Increment Matrix of the autocorrelation matrix of current time slots then, the autocorrelation matrix of previous time slot is introduced suitable forgetting factor and is accumulated the autocorrelation matrix that obtains current time slots mutually with Increment Matrix;
(5) data matrix in the step (1) is formed sample less data matrix by row with certain sampling interval through data extraction module, simultaneously the reference signal in (3) is extracted the reference signal that obtains less number of samples with same interval, utilize the data matrix of being correlated with after extracting to accumulate the incremental vector that obtains the current time slots associated vector mutually, introduce suitable forgetting factor and accumulate the auto-correlation vector that obtains current time slots mutually with the associated vector of previous time slot then with the incremental vector of associated vector with reference signal;
(6) associated vector of the autocorrelation matrix of applying step (4) and step (5) is decomposed by autocorrelation matrix being made Qiao Lisiji, and adopts the weight vector of the method renewal current time slots of simple former generation and back substitution.
(7) the weight vector normalization after will upgrading is delivered in the weighting block;
(8) renewal to next time slot array weight vectors repeats (1)～(7) step.
The method of the up receiving array of above-mentioned wireless communication system, wherein, the sampling interval of extracting in the described step (5) can be the same with the sampling interval of extraction in the step (4), also can be different.
The method of the up receiving array of above-mentioned wireless communication system, wherein, the span of the forgetting factor in auto-correlation battle array and the associated vector method of estimation is: between 0.5 and 1.
The method of the up receiving array of above-mentioned wireless communication system, wherein, described estimated channel response is meant by utilizing time-delay aligned signal estimated channel decline response.
A kind of aerial array receiver comprises that aerial array, array digital signal generation module, digital beam form module and Rake receiver; Described array digital signal generation module comprises receiving element and analog to digital converting unit; Aerial array input multipath signal is to array digital signal generation module, digital beam forms module and simultaneously the different multipath signals of a channel is formed wave beam respectively, multipath signal after wave beam forms is delivered to the corresponding footpath of Rake receiver, and Rake receiver carries out high specific to multipath signal and merges; Be characterized in: described digital beam forms module and comprises Multipath searching unit, time-delay alignment unit, channel response estimation unit, reference signal generation unit, auto-correlation battle array estimation unit, weighing vector maker, multiplier, adder, despread unit and regeneration frequency pilot sign or training sequence unit; Array digital signal generation module becomes digital signal with the analog signal conversion that each antenna receives, be divided into two-way after digital beam forms module sending into: the one tunnel enters auto-correlation battle array estimation unit estimates the auto-correlation battle array, and sends into the weighing vector maker in all footpaths in all passages; Another road then enters Multipath searching and tracking rope and tracking module carries out Multipath searching and follows the tracks of processing the digital signal of each one or more antenna of channel usage, and multidiameter delay information is offered despread unit; Delay unit aligns the array received digital signal respectively by the time delay of appointment, m road signal after the alignment respectively is divided into two-way, one the tunnel enters the weighing vector maker, one the tunnel enters multiplier as being weighted data, prepare to carry out multiplying and finally after adder merges, obtain the array beams dateout with the weighing vector of weighing vector maker output, form the output in each footpath after this data process despread unit despreading, and be connected to the corresponding footpath of Rake receiver.
Above-mentioned a kind of aerial array receiver, wherein, described weighing vector maker comprises abstraction module, associated vector computing module, matrix triangle decomposition module reconciliation trigonometric equation pack module; The output of array digital signal generation module is sent in the autocorrelation matrix computing module after the process data extraction module extracts when sending into the time-delay alignment module; Equally, array digital signal and reference signal are sent in the associated vector computing module after extracting through data extraction module; The output of autocorrelation matrix computing module becomes two triangular matrixes through matrix triangle decomposition decomposition module, and the output of matrix triangle decomposition module and associated vector computing module is sent into simultaneously and separated trigonometric equation pack module generation weighing vector.
Above-mentioned a kind of aerial array receiver, wherein, described autocorrelation matrix estimation module comprises m data abstraction module and connected autocorrelation matrix computing module; The m road signal of array digital signal generation module output outputs to the autocorrelation matrix computing module by abstraction module respectively, outputs to the weighing vector maker again.
Above-mentioned a kind of aerial array receiver, wherein, the digital signal of an array element of described channel response estimation module utilization time-delay alignment unit output is relevant in each time slot with known frequency pilot sign, obtains the rough estimate of different multipaths channel fading in each time slot of a channel.
Above-mentioned a kind of aerial array receiver, wherein, described reference signal generation module utilizes the channel response estimation module to obtain the required reference signal of spread spectrum sequence generation weighing vector maker of estimated value and regeneration frequency pilot sign or training sequence in each time slot.
Above-mentioned a kind of aerial array receiver, wherein, described weighing vector maker upgrades the weight vector of array antenna at each time slot, and the weight vector that each time slot upgrades is offered multiplier carries out beam weighting.
Because the present invention has adopted above technical scheme, therefore overcome the numerical instability that matrix is directly inverted under low noise, and amount of calculation is significantly less than traditional SMI method, and the operand that power is estimated is reduced to and is about m+4/3m2+m floating addition of 4SaKm2+8SaK '/take advantage of; A despreading only need be carried out in each footpath of what is more important, thereby total operand and the hardware spending of system all reduces, utilize existing general numerical signal processor (DSP) chip to finish, realizability is strong, can suppress effectively simultaneously to disturb and noise signal, improve the capacity and the communication quality of wireless communication system.
Characteristic performance of the present invention is described in further detail by following embodiment and accompanying drawing thereof.
Fig. 1 is the existing array acceptor schematic diagram that adopts.
Fig. 2 forms module principle figure for the SMI digital beam in the Rake footpath (finger) of the corresponding multipath signal of the present invention.
Fig. 3 is the schematic diagram of auto-correlation battle array estimation module of the present invention.
Fig. 4 is the schematic diagram of weighing vector maker of the present invention.
Fig. 5 is the up link simulation result curve chart that the present invention is directed to the WCDMA system.
See also Fig. 1, Fig. 2.Fig. 1 is the existing array acceptor schematic diagram that adopts.This array antenna received machine comprises that mainly aerial array 101, array digital signal generation module 102, digital beam form module 103 and Rake receiver 104.In the Serving cell scope, the spacing between the antenna element can be chosen as half of centre carrier frequency corresponding wavelength.Array digital signal generation module 102 comprises receiving element 105 and analog to digital converting unit 106, and major function is that the analog signal conversion that aerial array receives is become to supply the array digital signal of digital processing, and signal processing is subsequently carried out at numeric field.Digital beam forms module 103 and simultaneously the different multipath signals of a channel is formed wave beam respectively, and the multipath signal 108 after wave beam forms is delivered to Rake receiver 104 corresponding footpaths, and 104 pairs of multipath signals of Rake receiver carry out high specific and merge.
Be example with the cdma system below, method principle of the present invention is described.
Suppose that a channel array receiving digital signals is expressed as:
L=1 wherein, 2 ..., L is the multipath number, α (θ
l) be the array response of l bar multipath signal, θ
lBe the direction of arrival DOA of l bar multipath; h
l(t) be the decline of l bar multipath signal experience; S (t) is the desired signal of emission, C
s(t) be the spreading code of corresponding desired signal, τ
lIt is the time delay of l bar multipath signal; N (t) is that array disturbs and noise signal, and the noise on each antenna is regarded independent incoherent zero-mean additive white Gaussian noise as.
Optimize in the SMI method in the present invention, get reference signal and be
d(t)＝h
d(t)C
s(t-τ
d)s(t-τ
d) (2)
Obtain array signal is relevant with reference signal:
R
xd＝E[X(t)d*(t)]＝α(θ
d)E[h
d(t)s(t)*s(t)]+E[n′(t)d*(t)] (3)
If s (t) s* (t)=‖ s (t) ‖
2=1, can obtain:
Wherein: θ
d, τ
dDirection of arrival and time delay for the expectation subscriber signal.
From (4) formula as can be seen reference signal choose the coherent accumulation that can guarantee signal by (2) formula and simultaneously can reduce noise item again the Rxd estimation effect, can improve the estimation accuracy of Rxd, thereby the performance of SMI method can be improved significantly.According to minimum mean square error criterion, the SMI method converges on dimension, and that is separated:
Autocorrelation matrix Rxd and associated vector Rxd estimate to obtain through the likelihood of a large amount of sampled points in the practical application, so the operand of method is bigger, is difficult to realize with existing dsp chip.
Fig. 2 forms module 210_1 schematic diagram for the SMI digital beam in the Rake footpath (finger) of the corresponding multipath signal of the present invention.It mainly comprises compositions such as Multipath searching unit 201, time-delay alignment unit 202, channel response estimation unit 204, reference signal generation unit 206, weighing vector maker 207, multiplier 208, adder 209 and despread unit 211.Array digital signal generation module 102 becomes digital signal with the analog signal conversion that each antenna 101 receives, and is divided into two-way after sending into digital beam formation module 103.One the tunnel enters auto-correlation battle array estimation unit 212 estimates auto-correlation battle array in (5) formula, and send in all passages all the footpath in weighing vector maker 207, another road then enters Multipath searching and tracking module 201 carries out Multipath searching and follows the tracks of processing the digital signal of each one or more antenna of channel usage, and multidiameter delay information is offered despread unit 202.Delay unit aligns array received digital signal 107 respectively by the time delay of appointment.M road signal after the alignment respectively is divided into two-way, one the tunnel enters weighing vector maker 207, one the tunnel enters multiplier 208 as being weighted data, prepare to carry out multiplying and finally after adder 209 merges, obtain the array beams dateout with the W1～Wm of weighing vector maker 207 outputs, form the output in each footpath after these data process despread unit 211 despreadings, and be connected to Rake receiver 104 corresponding footpaths 108.Channel response estimation unit 204 utilizes the time delay aligned signal (having marked the despread signal 203_1 of first antenna among the figure) on certain root antenna to estimate the decline response of channel, and 206 of reference signal generation units utilize the spread spectrum sequence of the response of 204 estimated channel and regeneration frequency pilot sign or training sequence to produce the reference signal (2) of SMI method in the weighing vector maker.
Fig. 3 is the schematic diagram of auto-correlation battle array estimation module.It comprises n data abstraction module 302, autocorrelation matrix computing module 301.N signal of array digital signal generation module output outputs to the autocorrelation matrix computing module by abstraction module respectively, outputs to the weighing vector maker again.
Fig. 4 is the schematic diagram of weighing vector maker.It mainly comprises abstraction module 402, associated vector computing module 401, matrix triangle decomposition module 403 reconciliation trigonometric equation pack modules 404.The output 107 of array digital signal generation module is sent in autocorrelation matrix computing module 301 after process data extraction module 302 extracts when sending into the time-delay alignment module.Equally, array digital signal 203 and reference signal 213 are sent in associated vector computing module 401 after extracting through data extraction module 402.Because data processing is basically in the despreading pre-treatment, so data extraction module can significantly reduce the amount of calculation requirement of method.The output 303 of autocorrelation matrix computing module is resolved into two triangular matrixes through matrix triangle decomposition module 403, and the output of matrix triangle decomposition module and associated vector computing module is sent into simultaneously and separated trigonometric equation pack module 404 generation weighing vector W1～Wm.
The digital signal of an array element of described channel response estimation module utilization time-delay alignment unit output is relevant in each time slot with known frequency pilot sign, obtains the rough estimate of different multipaths channel fading in each time slot of a channel.
The spread spectrum sequence that described reference signal generation module utilizes the channel response estimation module to obtain estimated value and regeneration frequency pilot sign or training sequence in each time slot produces the required reference signal of weighing vector maker.
Described weighing vector maker upgrades the weight vector of array antenna at each time slot, and the weight vector that each time slot upgrades is offered multiplier carries out beam weighting.
The similar of autocorrelation matrix computing module 301 of the present invention and associated vector computing module 401, the computing that they are finished respectively is as follows:
The output of abstraction module 302 and 402 is expressed as the form of matrix:
d(n)＝[d(n)d(n+1)…(n+Sak′)]
K wherein, K ' are respectively the data sample number of power digital signal generation module in update time and the number of samples of reference signal, and S α is the sampling interval.In auto-correlation battle array computing module 301 and associated vector computing module 401, at first calculate:
Use the estimation of following formula recursion auto-correlation battle array then:
R
xx(n)＝αR
xx(n-1)+R′
xx(n)
R
xd(n)＝αR
xd(n-1)+R′
xd(n) (8)
Wherein α is the arithmetic number less than 1, is called forgetting factor, according to the decline situation of channel, α should be between 0.5 and 1 value.In SMI method of the present invention, avoided the common direct inversion operation of the unsettled matrix of numerical value then found the solution two trigonometric equation groups.The matrix decomposition module is identical to all multipaths of all passages, thereby only need calculate once.In addition, estimate that autocorrelation matrix Rxx generally needs more sample number, therefore makes SMI method poor performance after despreading.SMI method of the present invention is weighed the operand of estimation each time for being about 4SaKm
2+ 8SaK ' m+4/3m
3+ 12m
2+ m floating addition/take advantage of.A despreading only need be carried out in each footpath of what is more important, thereby total operand and the hardware spending of system is all smaller.
The method that SMI digital beam of the present invention forms may further comprise the steps (the note array received to despreading before signal data stream be X (n), utilize the channel response that estimates and frequency pilot sign or training sequence to produce reference signal d (n) simultaneously:
(1) from first time slot, read in data and reference signal before the despreading that the array received of a time slot arrives successively, be constructed as follows matrix form:
d(n)＝[d(n)d(n+1)…d(n+N′*SF) (10)
Wherein N represents a symbol lengths in the time slot, and N ' represents the wherein length of frequency pilot sign, and SF is the length of the used spreading code of spread spectrum.
(2) tell somebody what one's real intentions are according to patent that flow process shown in Figure 3 forms autocorrelation matrix in the book: at first data matrix in (1) is extracted a formation data matrix by row every S α
K is the number of samples after extracting, and calculates the autocorrelation matrix of current time slots then
R′
xx(n)＝∑X′(n)X(n) (12)
R
xx(n)＝αR
xx(n-1)+R′xx(n) (13)
Wherein α is a forgetting factor, R
Xx(n-1) be previous time slot autocorrelation matrix that calculate and that preserve.
(3) tell somebody what one's real intentions are according to patent that flow process shown in Figure 3 forms associated vector in the book: at first data matrix in (1) is extracted a formation data matrix by row every S α,
With same interval reference signal is extracted simultaneously and obtain
Fig. 4 calculates the auto-correlation vector of current time slots through the number of samples behind the abstraction module to K ' then in the book for patent is told somebody what one's real intentions are
R
xd(n)＝αR
xd(n-1)+R′
xd(n) (17)
R
Xd(n-1) be the associated vector that previous time slot calculates.Notice (6) that the sampling interval S α ' in (7) might not be the same with the sampling interval S α in (3).
(4) to autocorrelation matrix R
Xx(n) make Qiao Lisiji and decompose R
Xx(n)=L
Xx(n) * L
H Xx(n), obtain a lower triangular matrix L
Xx(n).
(5) find the solution down trigonometric equation group L respectively with former generation and back substitution method
Xx(n) * u=R
Xd(n) and last trigonometric equation group
Try to achieve the weight vector W (n) of renewal like this;
(6) weight vector W (n) normalization after will upgrading
Deliver in the weighting block;
(7) next time slot array weight vector is upgraded repetition (1)～(6) step.
The method that adopts above-mentioned SMI digital beam to form realizes that array received can suppress to disturb and noise signal effectively, improves the capacity and the communication quality of wireless communication system.The system signal noise ratio gain is near the optimal value of array received, effectively resist the path fading effect, and amount of calculation is lower than blind calculation methods such as RLS method and sign indicating number filtering, (establishing RAKE footpath number is 6 also to be significantly less than traditional SMI method, when the sampling interval is 32, the present invention can make amount of calculation drop to original about 1/32), utilize existing general dsp chip to get final product Method Of Accomplishment, realizability is strong.
Fig. 5 is the up link simulation result at the WCDMA system.The multi-path environment parameter is as shown in table 1:
Table 1 simulation parameter
| The multipath number | 6 | |||||
| Multidiameter delay (second) | 0 | 310e-9 | 710e-9 | 1090e-9 | 1730e-9 | 2510e-9 |
| The average fading factor of multipath (dB) | 0dB | -1dB | -9dB | -10dB | -15dB | -20dB |
| The multipath DOA benchmark | DOA1 30° | DOA2 28° | DOA3 33° | DOA4 26° | DOA5 55° | DOA6 15° |
| Spreading factor | 256 | |||||
| Mobile station speed | 120km/h | |||||
Among the figure:
Expression single antenna result;
Expression SMI algorithm, the sampling interval (1,1);
Expression SMI algorithm, the sampling interval (32,2);
The SMI algorithm of expression standard.
From as can be seen above, adopt the present invention for 4 array element array acceptors, systematic function is near optimum.
Claims (10)
1, a kind of method that is used for the up reception adaptive array of wireless communication system, the analog signal that every antenna element of receiving array receives is the array digital signal through analog/digital conversion, the despreading of array digital signal process obtains the array signal data flow after the despreading, utilize before the despreading and despreading after the array data signal form the weighing vector of array, and form wave beam with the array signal weighted sum of the weighing vector that generates after to despreading, signal behind the beam weighting is delivered to the corresponding footpath of Rake receiver, in time domain signal is carried out high specific by Rake receiver and merges; It is characterized in that described wave beam adopt to be optimized the invert weighted sum method of structure of sampling matrix by Beam-former and formed, and the steps include:
(1) from first time slot, digital beam forms data and pilot frequency sequence or training signal before the despreading that array received that device reads in current time slots successively arrives;
(2) ask average with the signal on array element of current time slots is relevant with pilot frequency sequence or training signal, estimate the channel response of current time slots;
(3) pilot frequency sequence of the channel response of the current time slots of usefulness step (2) estimation and current time slots or training signal generate the reference signal after channel response compensates;
(4) data matrix in the step (1) is extracted a formation sample less data matrix by row with certain sampling interval through data extraction module, utilize this data matrix to generate the Increment Matrix of the autocorrelation matrix of current time slots then, the autocorrelation matrix of previous time slot is introduced suitable forgetting factor and is accumulated the autocorrelation matrix that obtains current time slots mutually with Increment Matrix;
(5) data matrix in the step (1) is formed sample less data matrix by row with certain sampling interval through data extraction module, simultaneously the reference signal in (3) is extracted the reference signal that obtains less number of samples with same interval, utilize the data matrix of being correlated with after extracting to accumulate the incremental vector that obtains the current time slots associated vector mutually, introduce suitable forgetting factor and accumulate the auto-correlation vector that obtains current time slots mutually with the associated vector of previous time slot then with the incremental vector of associated vector with reference signal;
(6) associated vector of the autocorrelation matrix of applying step (4) and step (5) is decomposed by autocorrelation matrix being made Qiao Lisiji, and adopts the weight vector of the method renewal current time slots of simple former generation and back substitution.
(7) the weight vector normalization after will upgrading is delivered in the weighting block;
(8) renewal to next time slot array weight vectors repeats (1)～(7) step.
2. the method for the up receiving array of wireless communication system according to claim 1 is characterized in that, the sampling interval of extracting in the described step (5) can be the same with the sampling interval of extraction in the step (4), also can be different.
3. the method for the up receiving array of wireless communication system according to claim 1 is characterized in that, the span of the forgetting factor of introducing in step (4), (5) is: between 0.5～1.
4. the method for the up receiving array of wireless communication system according to claim 1 is characterized in that, described estimated channel response is meant by utilizing time-delay aligned signal and known emission frequency pilot sign/training sequence estimated channel decline response.
5. an aerial array receiver comprises that aerial array, array digital signal generation module, digital beam form module and Rake receiver; Described array digital signal generation module comprises receiving element and analog to digital converting unit; Aerial array input multipath signal is to array digital signal generation module, digital beam forms module and simultaneously the different multipath signals of a channel is formed wave beam respectively, multipath signal after wave beam forms is delivered to the corresponding footpath of Rake receiver, and Rake receiver carries out high specific to multipath signal and merges; It is characterized in that: described digital beam forms module and comprises Multipath searching unit, time-delay alignment unit, channel response estimation unit, reference signal generation unit, auto-correlation battle array estimation unit, weighing vector maker, multiplier, adder, despread unit and regeneration frequency pilot sign or training sequence unit; Array digital signal generation module becomes digital signal with the analog signal conversion that each antenna receives, be divided into two-way after digital beam forms module sending into: the one tunnel enters auto-correlation battle array estimation unit estimates the auto-correlation battle array, and sends into the weighing vector maker in all footpaths in all passages; Another road then enters Multipath searching and tracking module carries out Multipath searching and follows the tracks of processing the digital signal of each one or more antenna of channel usage, and multidiameter delay information is offered despread unit; Delay unit aligns the array received digital signal respectively by the time delay of appointment, m road signal after the alignment respectively is divided into two-way, one the tunnel enters the weighing vector maker, one the tunnel enters multiplier as being weighted data, prepare to carry out multiplying and finally after adder merges, obtain the array beams dateout with the weighing vector of weighing vector maker output, form the output in each footpath after this data process despread unit despreading, and be connected to the corresponding footpath of Rake receiver.
6. a kind of aerial array receiver according to claim 5 is characterized in that, described weighing vector maker comprises abstraction module, associated vector computing module, matrix triangle decomposition module reconciliation trigonometric equation pack module; The output of array digital signal generation module is sent in the autocorrelation matrix computing module after the process data extraction module extracts when sending into the time-delay alignment module; Equally, array digital signal and reference signal are sent in the associated vector computing module after extracting through data extraction module; The output of autocorrelation matrix computing module becomes two triangular matrixes through matrix triangle decomposition decomposition module, and the output of matrix triangle decomposition module and associated vector computing module is sent into simultaneously and separated trigonometric equation pack module generation weighing vector.
7. a kind of aerial array receiver according to claim 5 is characterized in that, described autocorrelation matrix estimation module comprises m data abstraction module and connected autocorrelation matrix computing module; The m road signal of array digital signal generation module output outputs to the autocorrelation matrix computing module by abstraction module respectively, outputs to the weighing vector maker again.
8. a kind of aerial array receiver according to claim 5, it is characterized in that, the digital signal of an array element of described channel response estimation module utilization time-delay alignment unit output is relevant in each time slot with known frequency pilot sign, obtains the rough estimate of different multipaths channel fading in each time slot of a channel.
9. a kind of aerial array receiver according to claim 5, it is characterized in that the spread spectrum sequence that described reference signal generation module utilizes the channel response estimation module to obtain estimated value and regeneration frequency pilot sign or training sequence produces the required reference signal of weighing vector maker in each time slot.
10. a kind of aerial array receiver according to claim 5 is characterized in that, described weighing vector maker upgrades the weight vector of array antenna at each time slot, and the weight vector that each time slot upgrades is offered multiplier carries out beam weighting.
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|---|---|---|---|---|
| CN1486106A (en) * | 2002-09-24 | 2004-03-31 | 深圳市中兴通讯股份有限公司 | Apparatus and method for selfadaptive beam forming of intelligent antenna |
| CN100373832C (en) * | 2002-11-25 | 2008-03-05 | 中兴通讯股份有限公司 | Code filtering self-adaptive wave beam formation method |
| AU2002359956A1 (en) * | 2002-12-31 | 2004-07-22 | Zte Corporation | Smart antenna, method and device for forming |
| US7362830B2 (en) * | 2002-12-31 | 2008-04-22 | Lg Electronics Inc. | Smart antenna system and method |
| CN1314289C (en) * | 2003-03-27 | 2007-05-02 | 乐金电子(中国)研究开发中心有限公司 | Time solt synchronous detection and channel estimation in mobile communication receiver |
| US7899129B2 (en) * | 2007-09-11 | 2011-03-01 | Intel Corporation | Wireless personal area network communication systems, apparatus and methods with fast adaptive beamforming |
| CN101312597B (en) * | 2008-05-08 | 2011-11-16 | 北京创毅视讯科技有限公司 | Channel estimation unit and channel estimation method |
| CN102130877A (en) * | 2010-01-19 | 2011-07-20 | 雷凌科技股份有限公司 | Pilot signal determination method and wireless communication system using the same |
| CN102185630B (en) * | 2011-04-13 | 2014-11-05 | 中兴通讯股份有限公司 | Narrowband interference suppression method and device used in spread spectrum communication system and receiver |
| CN102263574B (en) * | 2011-06-13 | 2017-03-22 | 中兴通讯股份有限公司 | Narrowband interference detection and suppression method, device and receiver for communication system |
| CN107843885B (en) * | 2017-10-27 | 2020-01-14 | 北京锐安科技有限公司 | Method, apparatus, computer device and readable storage medium for multipath delay estimation |
| CN116827459B (en) * | 2023-08-30 | 2023-11-07 | 长春市佳白网络科技有限公司 | Performance test method for wireless communication network equipment |
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2000
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