CN103297364A - Method and device for optimizing channel equalization - Google Patents

Method and device for optimizing channel equalization Download PDF

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CN103297364A
CN103297364A CN 201210046138 CN201210046138A CN103297364A CN 103297364 A CN103297364 A CN 103297364A CN 201210046138 CN201210046138 CN 201210046138 CN 201210046138 A CN201210046138 A CN 201210046138A CN 103297364 A CN103297364 A CN 103297364A
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brachymemma
channel
channel estimation
estimation value
communication data
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CN103297364B (en
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张亚男
王乃博
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Chen core technology Co., Ltd.
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Leadcore Technology Co Ltd
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Abstract

The invention provides a method and device for optimizing channel equalization. Truncation filtering processing is carried out on a channel estimated value and communication data, the channel equalization is carried out through the truncated channel estimated value and the communication data after truncation filtering, the situation that a channel tap which still has large energy is directly abandoned is avoided, and therefore the problems that large time delay exists and a channel equalization result cannot be optimal when the abandoned channel tap still has the large energy are avoided. Therefore, the performance of the channel equalization is improved.

Description

The optimization method of channel equalization and device
Technical field
The present invention relates to wireless communication technology field, particularly a kind of optimization method of channel equalization and device.
Background technology
In wireless communication system, radio signal will arrive at receiving terminal through a plurality of paths from transmitting terminal, and this is multipath.And the existence of radio signal multipath transmisstion will cause multipath effect, and described multipath effect comprises decline and the phase shift of radio signal.In bandwidth efficient channel, (Inter Symbol Interference ISI) can make the radio signal that is transmitted produce distortion, thereby produce error code in the communication data that receives in the intersymbol interference that causes owing to multipath effect.
Intersymbol interference becomes the major obstacle that influences receptivity, and channel equalization overcomes a kind of effective technology of intersymbol interference just, and it can compensate the decline in the bandwidth efficient channel and phase shift problem, improves receptivity with this.Given this, most channel equalization techniques all depend on channel estimating, carry out amplitude and time delay (i.e. the amount of decline and phase shift) estimation by the characteristic of channel that channel estimating is gone through communication data, and then adopt suitable channel equalization algorithm to compensate according to the channel estimation value that obtains, for example: zero forcing algorithm, least-mean-square error algorithm etc.
For above-described equalization methods, the tap number of general channel estimating is more long, corresponding balance module also needs more complicated, the channel equalization module often is designed to fixed structure in realization, at this moment, the channel estimating tap number of balance module reference is also with regard to be fixed up (length of supposing channel tap is fixed as n), run into this moment the long time delay scene namely when channel estimation value be that (l＞n) is directly the time for l, be equivalent to during equalizer processes directly the channel tap greater than the n footpath is abandoned, and only use remaining n footpath channel tap (in other words remaining n footpath channel estimation value) to carry out channel equalization.So handle, when having long time delay and on the channel tap greater than the n footpath, still having than macro-energy, will directly cause the channel equalization result not reach optimum, thereby influence final demodulation receptivity.
Summary of the invention
The object of the present invention is to provide a kind of optimization method and device of channel equalization, to solve in the prior art, when still having than macro-energy on the channel tap that has long time delay and be dropped, will directly cause the channel equalization result not reach optimum, reduced the problem of channel equalization performance.
For solving the problems of the technologies described above, the invention provides a kind of optimization method of channel equalization, comprising:
The received communication data;
Carry out channel estimating;
The channel estimation value that obtains is carried out brachymemma filtering handle, to obtain the channel estimation value after the brachymemma;
The communication data that receives is carried out same brachymemma filtering handle, to obtain the filtered communication data of brachymemma;
Utilize channel estimation value and the filtered communication data of brachymemma after the described brachymemma to carry out channel equalization.
Optionally, in the optimization method of described channel equalization, described brachymemma filtering is treated to matrix f MmseConversion, described matrix f MmseConversion obtains according to following formula:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H
Wherein, σ 2Be white noise power, I is unit matrix, H tBe the matrix that obtains according to channel estimation value,
Figure BDA0000138510690000022
Be H tConjugate transpose.
Optionally, in the optimization method of described channel equalization, the footpath number of the channel estimation value after the brachymemma is a predetermined value.
Optionally, in the optimization method of described channel equalization, the footpath number of the channel estimation value after the brachymemma is 6 footpaths.
The present invention also provides a kind of optimization device of channel equalization, comprising: receiver module, channel estimation module, first processing module, second processing module, channel equalization module, wherein,
Receiver module is in order to the received communication data;
Channel estimation module is in order to carry out channel estimating;
First processing module is handled in order to the channel estimation value that obtains is carried out brachymemma filtering, to obtain the channel estimation value after the brachymemma;
Second processing module is handled in order to the communication data that receives is carried out same brachymemma filtering, to obtain the filtered communication data of brachymemma;
The channel equalization module is carried out channel equalization in order to utilize channel estimation value and the filtered communication data of brachymemma after the described brachymemma.
Optionally, in the optimization device of described channel equalization, described brachymemma filtering is treated to matrix f MmseConversion, described matrix f MmseConversion obtains according to following formula:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H
Wherein, σ 2Be white noise power, I is unit matrix, H tBe the matrix that obtains according to channel estimation value,
Figure BDA0000138510690000032
Be H tConjugate transpose.
Optionally, in the optimization device of described channel equalization, the footpath number of the channel estimation value after the brachymemma is a predetermined value.
Optionally, in the optimization device of described channel equalization, the footpath number of the channel estimation value after the brachymemma is 6 footpaths.
The present invention also provides a kind of optimization method of channel equalization, comprising:
Step 1: received communication data;
Step 2: carry out channel estimating;
Step 3: the channel estimation value that obtains is monitored, if when the footpath number of channel estimation value should not be ignored more greatly greater than a predetermined value and energy of exceeding these footpaths of predetermined value, execution in step 4, otherwise, execution in step 6;
Step 4: the channel estimation value that obtains is carried out brachymemma filtering handle, to obtain the channel estimation value after the brachymemma;
Step 5: the communication data that receives is carried out same brachymemma filtering handle, to obtain the filtered communication data of brachymemma;
Step 6: utilize channel estimation value and the filtered communication data of communication data/brachymemma after channel estimation value/brachymemma to carry out channel equalization.
The present invention also provides a kind of optimization device of channel equalization, comprising: receiver module, channel estimation module, monitoring modular, first processing module, second processing module, channel equalization module, wherein,
Receiver module is in order to the received communication data;
Channel estimation module is in order to carry out channel estimating;
Monitoring modular, in order to the channel estimation value that obtains is monitored, when if the footpath number of channel estimation value should not be ignored more greatly greater than a predetermined value and energy of exceeding these footpaths of predetermined value, start first processing module and second processing module, otherwise, do not start first processing module and second processing module;
First processing module is handled in order to the channel estimation value that obtains is carried out brachymemma filtering, to obtain the channel estimation value after the brachymemma;
Second processing module is handled in order to the communication data that receives is carried out same brachymemma filtering, to obtain the filtered communication data of brachymemma;
The channel equalization module is carried out channel equalization in order to utilize channel estimation value and the filtered communication data of communication data/brachymemma after channel estimation value/brachymemma.
In the optimization method and device of channel equalization provided by the invention, by channel estimation value and communication data are carried out brachymemma filtering processing, utilize channel estimation value and the filtered communication data of brachymemma after the brachymemma to carry out channel equalization, it does not directly abandon the channel tap that still has than macro-energy, but make the channel tap energy that must abandon as far as possible little by filtering, improve channel equalization performance under the long time delay with this.
Description of drawings
Fig. 1 is the schematic flow sheet of optimization method of the channel equalization of the embodiment of the invention one;
Fig. 2 is the mount structure schematic diagram of optimization device of the channel equalization of the embodiment of the invention one;
Fig. 3 is the schematic flow sheet of optimization method of the channel equalization of the embodiment of the invention two;
Fig. 4 is the mount structure schematic diagram of optimization device of the channel equalization of the embodiment of the invention two.
Embodiment
Be described in further detail below in conjunction with optimization method and the device of the drawings and specific embodiments to channel equalization provided by the invention.According to the following describes and claims, advantages and features of the invention will be clearer.It should be noted that accompanying drawing all adopts very the form of simplifying, only in order to convenient, the purpose of the aid illustration embodiment of the invention lucidly.
Core concept of the present invention is, when carrying out channel equalization, the number of channel taps of the channel estimation value that it can utilize channel estimation value footpath number in other words is subjected under the situation of hardware constraints, directly will directly do not abandoned greater than the channel estimation value footpath number that hardware can be handled, but the communication data of channel estimation value and reception is carried out brachymemma filtering processing, handle by brachymemma filtering, therefore that part of tap energy of the channel estimation value footpath number that has reduced greatly can to handle greater than hardware also drops to abandon channel tap minimum to the harmful effect that demodulation produces.Thus, for the long time delay scene, the hardware handles condition can be satisfied, the performance of channel equalization can be improved again.
Embodiment one
Please refer to Fig. 1, it is the schematic flow sheet of optimization method of the channel equalization of the embodiment of the invention one.As shown in Figure 1, the optimization method of described channel equalization comprises:
S10: received communication data;
S11: carry out channel estimating;
S12: the channel estimation value that obtains is carried out brachymemma filtering handle, to obtain the channel estimation value after the brachymemma;
S13: the communication data that receives is carried out same brachymemma filtering handle, to obtain the filtered communication data of brachymemma;
S14: utilize channel estimation value and the filtered communication data of brachymemma after the described brachymemma to carry out channel equalization.
Accordingly, present embodiment also provides a kind of optimization device of channel equalization, please refer to Fig. 2, and it is the mount structure schematic diagram of optimization device of the channel equalization of the embodiment of the invention one.As shown in Figure 2, the optimization device of described channel equalization comprises: receiver module 20, channel estimation module 21, first processing module 22, second processing module 23, channel equalization module 24, wherein,
Receiver module 20 is in order to the received communication data;
Channel estimation module 21 is in order to carry out channel estimating;
First processing module 22 is handled in order to the channel estimation value that obtains is carried out brachymemma filtering, to obtain the channel estimation value after the brachymemma;
Second processing module 23 is handled in order to the communication data that receives is carried out same brachymemma filtering, to obtain the filtered communication data of brachymemma;
Channel equalization module 24 is carried out channel equalization in order to utilize channel estimation value and the filtered communication data of brachymemma after the described brachymemma.
In the optimization method and device of the channel equalization that present embodiment provides, by channel estimation value and communication data are carried out brachymemma filtering processing, utilize channel estimation value and the filtered communication data of brachymemma after the described brachymemma to carry out channel equalization, namely prevented for directly abandoning than the channel tap of macro-energy still arranged, thereby when having avoided existing long time delay and on the channel tap that is dropped, still having had than macro-energy, the channel equalization result who causes does not reach optimum problem, thereby has improved the performance of channel equalization.
Concrete, described receiver module 20 is connected with channel estimation module 21 and second processing module, 23 signals, the communication data that receives is transferred to channel estimation module 21 carries out channel estimating, and be transferred to second processing module 23 with the communication data execution brachymemma filtering processing to receiving, thereby obtain the filtered communication data of brachymemma.Described channel estimation module 21 also is connected with first processing module, 22 signals, and the channel estimation value that obtains is transferred to first processing module 22, handles channel estimation value is carried out brachymemma filtering, to obtain the channel estimation value after the brachymemma.Simultaneously, described first processing module 22 and second processing module 23 all are connected with channel equalization module 24 signals, respectively the channel estimation value after the filtered communication data of the brachymemma that obtains and the brachymemma is transferred to channel equalization module 24, described channel equalization module 24 utilizes the channel estimation value after the filtered communication data of described brachymemma and the brachymemma to carry out channel equalization.
In the present embodiment, can carry out channel estimating by existing various channel estimation methods, the application repeats no more this.Simultaneously, after the channel estimating after channel equalization module 24 obtains the filtered communication data of brachymemma and brachymemma, communication data and the channel estimation value after the brachymemma after it utilizes existing various channel equalization method to this brachymemma carry out channel equalization, for example: zero forcing algorithm, least-mean-square error algorithm, maximum-likelihood sequence estimation etc., the application also repeats no more this.
In the present embodiment, subsequent will making this brachymemma filtering processing specifies, and at this, described brachymemma filtering is treated to matrix f MmseConversion, described matrix f MmseConversion obtains according to following formula:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H
Wherein, σ 2Be white noise power, I is unit matrix, H tBe the matrix that obtains according to channel estimation value, Be H tConjugate transpose.But, it should be noted that in other embodiments of the invention, described brachymemma filtering is handled also can be other matrixing operations, key is to carry out the communication data of channel estimation value and reception brachymemma filtering and handles, and gets final product to satisfy the hardware handles condition.
At this, the channel tap of supposing channel estimation value is h=(h 0, h 1, K, h L-1) T, length is l, and namely channel estimation value is the l footpath, establishes brachymemma filtering processing and utilizing channel tap brachymemma filter, and its coefficient is f=(f 0, f 1, K, f M-1) T, length is m, then through the channel tap after the pre-filtering of brachymemma filter be,
Figure BDA0000138510690000063
Length is l+m-1.Obviously, h, f, h ' satisfies
h*f＝h′ (1.1)
At this, the footpath number of the channel estimation value after the brachymemma is a predetermined value n, i.e. preceding n the tap of channel tap h ' after the pre-filtering of brachymemma filter is not that 0 (n＜l), then l+m-n-1 channel tap all is 0 (perhaps being approximately 0).
Then, at known l, m, n, h and to the constraints of h ' (channel tap h ' preceding n tap be not under 0 (n＜l), then l+m-n-1 channel tap all is 0), ask the optimal solution of f:
At first h is rewritten as convolution matrix H, makes
H·f＝h′ (1.2)
Wherein, H is the Toeplitz matrix.
Making H remove the matrix of the 1st～n-1 after capable is H t, h ' removes the 1st～n-1 the vector behind the element and is Then obtained by (1.2)
H t · f = h t ′ - - - ( 1.3 )
Wherein,
Figure BDA0000138510690000073
Except first element, be 0.Be without loss of generality, suppose
Figure BDA0000138510690000074
First element be 1.
Then, (1.3) are carried out solving equation, still, because H tPseudoinverse full rank not, this equation is not directly asked the ZF solution.But in (1.3) formula, introduce white Gaussian noise vector δ, thus, obtain following (1.4) formula:
H t · f = h t ′ + δ - - - ( 1.4 )
Ask the MMSE (least mean-square error) of this (1.4) formula to separate then, thereby obtain matrix f MmseConversion:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H - - - ( 1.5 )
Wherein, σ 2I=E{ δ δ H.
Obtaining matrix f MmseAfter the conversion, only need channel estimation value (matrix h) and matrix f MmseThe channel estimation value h after multiplying just can obtain brachymemma is in conversion t, same, the communication data r of reception and matrix f MmseMultiplying is done in conversion just can obtain the filtered communication data r ' of brachymemma.
Then, utilize channel estimation value h after this brachymemma by channel equalization module 24 tAnd the filtered communication data r ' of brachymemma carries out channel equalization and gets final product.
At this, utilize the optimization method of above-mentioned channel equalization to investigate MCS5～7 in the EDGE system, wherein, channel equalization module 24 adopts RSSE, investigate the HT 12 footpath channels that gsm protocol 3GPP TS45.005 provides, this channel still has the bigger channel tap of energy at place, the 7th footpath, belongs to the long time delay scene.With according to 6 the footpath Channel Processing, also namely directly the 7th footpath is abandoned and compare, in the optimization method of the channel equalization of present embodiment, 7 footpath channel estimation values are punctured into 6 footpath channel estimation values, and then handle by channel equalization module 24 according to 6 footpath channel estimation values, namely this moment, l got 7, n gets 6, simultaneously, considers that the performance m of device gets 17, MCS5～7 have all obtained obvious gain thus, have for example obtained the gain of about 3～4dB at the standard reference level place of MCS6.
Embodiment two
Please refer to Fig. 3, it is the schematic flow sheet of optimization method of the channel equalization of the embodiment of the invention two.As shown in Figure 3, the optimization method of described channel equalization comprises:
Step 1: received communication data;
Step 2: carry out channel estimating;
Step 3: the channel estimation value that obtains is monitored, if when the footpath number of channel estimation value should not be ignored more greatly greater than a predetermined value and energy of exceeding these footpaths of predetermined value, namely be judged as the long time delay scene, execution in step 4, otherwise, execution in step 6;
Step 4: the channel estimation value that obtains is carried out brachymemma filtering handle, to obtain the channel estimation value after the brachymemma;
Step 5: the communication data that receives is carried out same brachymemma filtering handle, to obtain the filtered communication data of brachymemma;
Step 6: utilize channel estimation value and the filtered communication data of communication data/brachymemma after channel estimation value/brachymemma to carry out channel equalization.
Accordingly, present embodiment also provides a kind of optimization device of channel equalization, please refer to Fig. 4, and it is the mount structure schematic diagram of optimization device of the channel equalization of the embodiment of the invention two.As shown in Figure 4, the optimization device of described channel equalization comprises: receiver module 40, channel estimation module 41, monitoring modular 42, first processing module 43, second processing module 44, channel equalization module 45, wherein,
Receiver module 40 is in order to the received communication data;
Channel estimation module 41 is in order to carry out channel estimating;
Monitoring modular 42, in order to the channel estimation value that obtains is monitored, when if the footpath number of channel estimation value should not be ignored more greatly greater than a predetermined value and energy of exceeding these footpaths of predetermined value, start first processing module 43 and second processing module 44, otherwise, do not start first processing module 43 and second processing module 44;
First processing module 43 is handled in order to the channel estimation value that obtains is carried out brachymemma filtering, to obtain the channel estimation value after the brachymemma;
Second processing module 44 is handled in order to the communication data that receives is carried out same brachymemma filtering, to obtain the filtered communication data of brachymemma;
Channel equalization module 45 is carried out channel equalization in order to utilize channel estimation value and the filtered communication data of communication data/brachymemma after channel estimation value/brachymemma.
The difference of present embodiment and embodiment one is, has increased a monitoring step 3 and monitoring modular 42.By this monitoring step 3 and monitoring modular 42 after obtaining communication data and channel estimation value, at first handle and judged whether needing that the communication data that receives and channel estimation value are carried out brachymemma filtering, when needs carry out brachymemma filtering processing, respectively channel estimation value and communication data are carried out brachymemma filtering by first processing module 43 and second processing module 44 and handle, utilize channel estimation value and the filtered communication data of brachymemma after the brachymemma to carry out channel equalization by channel equalization module 45 again; Otherwise, just directly utilize channel estimation value and communication data to carry out channel equalization by channel equalization module 45.Thus, can give the most appropriate processing respectively at different situations, thereby further improve the performance of channel equalization.
Foregoing description only is the description to preferred embodiment of the present invention, is not any restriction to the scope of the invention, and any change, modification that the those of ordinary skill in field of the present invention is done according to above-mentioned disclosure all belong to the protection range of claims.

Claims (16)

1. the optimization method of a channel equalization is characterized in that, comprising:
The received communication data;
Carry out channel estimating;
The channel estimation value that obtains is carried out brachymemma filtering handle, to obtain the channel estimation value after the brachymemma;
The communication data that receives is carried out same brachymemma filtering handle, to obtain the filtered communication data of brachymemma;
Utilize channel estimation value and the filtered communication data of brachymemma after the described brachymemma to carry out channel equalization.
2. the optimization method of channel equalization as claimed in claim 1 is characterized in that, described brachymemma filtering is treated to matrix f MmseConversion, described matrix f MmseConversion obtains according to following formula:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H
Wherein, σ 2Be white noise power, I is unit matrix, H tBe the matrix that obtains according to channel estimation value,
Figure FDA0000138510680000012
Be H tConjugate transpose.
3. the optimization method of channel equalization as claimed in claim 2 is characterized in that, the footpath number of the channel estimation value after the brachymemma is a predetermined value.
4. the optimization method of channel equalization as claimed in claim 3 is characterized in that, the footpath number of the channel estimation value after the brachymemma is 6 footpaths.
5. the optimization device of a channel equalization is characterized in that, comprising: receiver module, channel estimation module, first processing module, second processing module, channel equalization module, wherein,
Receiver module is in order to the received communication data;
Channel estimation module is in order to carry out channel estimating;
First processing module is handled in order to the channel estimation value that obtains is carried out brachymemma filtering, to obtain the channel estimation value after the brachymemma;
Second processing module is handled in order to the communication data that receives is carried out same brachymemma filtering, to obtain the filtered communication data of brachymemma;
The channel equalization module is carried out channel equalization in order to utilize channel estimation value and the filtered communication data of brachymemma after the described brachymemma.
6. the optimization device of channel equalization as claimed in claim 5 is characterized in that, described brachymemma filtering is treated to matrix f MmseConversion, described matrix f MmseConversion obtains according to following formula:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H
Wherein, σ 2Be white noise power, I is unit matrix, H tBe the matrix that obtains according to channel estimation value,
Figure FDA0000138510680000022
Be H tConjugate transpose.
7. the optimization device of channel equalization as claimed in claim 6 is characterized in that, the footpath number of the channel estimation value after the brachymemma is a predetermined value.
8. the optimization device of channel equalization as claimed in claim 7 is characterized in that, the footpath number of the channel estimation value after the brachymemma is 6 footpaths.
9. the optimization method of a channel equalization is characterized in that, comprising:
Step 1: received communication data;
Step 2: carry out channel estimating;
Step 3: the channel estimation value that obtains is monitored, if when the footpath number of channel estimation value should not be ignored more greatly greater than a predetermined value and energy of exceeding these footpaths of predetermined value, execution in step 4, otherwise, execution in step 6;
Step 4: the channel estimation value that obtains is carried out brachymemma filtering handle, to obtain the channel estimation value after the brachymemma;
Step 5: the communication data that receives is carried out same brachymemma filtering handle, to obtain the filtered communication data of brachymemma;
Step 6: utilize channel estimation value and the filtered communication data of communication data/brachymemma after channel estimation value/brachymemma to carry out channel equalization.
10. the optimization method of channel equalization as claimed in claim 9 is characterized in that, described brachymemma filtering is treated to matrix f MmseConversion, described matrix f MmseConversion obtains according to following formula:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H
Wherein, σ 2Be white noise power, I is unit matrix, H tBe the matrix that obtains according to channel estimation value,
Figure FDA0000138510680000024
Be H tConjugate transpose.
11. the optimization method of channel equalization as claimed in claim 10 is characterized in that, the footpath number of the channel estimation value after the brachymemma is a predetermined value.
12. the optimization method of channel equalization as claimed in claim 11 is characterized in that, the footpath number of the channel estimation value after the brachymemma is 6 footpaths.
13. the optimization device of a channel equalization is characterized in that, comprising: receiver module, channel estimation module, monitoring modular, first processing module, second processing module, channel equalization module, wherein,
Receiver module is in order to the received communication data;
Channel estimation module is in order to carry out channel estimating;
Monitoring modular, in order to the channel estimation value that obtains is monitored, when if the footpath number of channel estimation value should not be ignored more greatly greater than a predetermined value and energy of exceeding these footpaths of predetermined value, start first processing module and second processing module, otherwise, do not start first processing module and second processing module;
First processing module is handled in order to the channel estimation value that obtains is carried out brachymemma filtering, to obtain the channel estimation value after the brachymemma;
Second processing module is handled in order to the communication data that receives is carried out same brachymemma filtering, to obtain the filtered communication data of brachymemma;
The channel equalization module is carried out channel equalization in order to utilize channel estimation value and the filtered communication data of communication data/brachymemma after channel estimation value/brachymemma.
14. the optimization device of channel equalization as claimed in claim 13 is characterized in that, described brachymemma filtering is treated to matrix f MmseConversion, described matrix f MmseConversion obtains according to following formula:
f mmse = ( H t H · H t + σ 2 I ) - 1 H t H
Wherein, σ 2Be white noise power, I is unit matrix, H tBe the matrix that obtains according to channel estimation value,
Figure FDA0000138510680000032
Be H tConjugate transpose.
15. the optimization device of channel equalization as claimed in claim 14 is characterized in that, the footpath number of the channel estimation value after the brachymemma is a predetermined value.
16. the optimization device of channel equalization as claimed in claim 15 is characterized in that, the footpath number of the channel estimation value after the brachymemma is 6 footpaths.
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