CN103297364B - The optimization method of channel equalization and device - Google Patents
The optimization method of channel equalization and device Download PDFInfo
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- CN103297364B CN103297364B CN201210046138.6A CN201210046138A CN103297364B CN 103297364 B CN103297364 B CN 103297364B CN 201210046138 A CN201210046138 A CN 201210046138A CN 103297364 B CN103297364 B CN 103297364B
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Abstract
The invention provides a kind of optimization method and device of channel equalization, by carrying out brachymemma filtering process to channel estimation value and communication data, the channel estimation value after described brachymemma and the filtered communication data of brachymemma is utilized to carry out channel equalization, namely directly the abandoning of channel tap for still having compared with macro-energy is prevented, thus avoid there is long time delay and still have in the channel tap be dropped comparatively macro-energy time, the channel equalization result caused does not reach optimum problem, thus improves the performance of channel equalization.
Description
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 a wireless communication system, radio signal will arrive at receiving terminal through multiple path from transmitting terminal, and this is multipath.And the existence of radio signal multipath transmisstion will cause multipath effect, described multipath effect will comprise decline and the phase shift of radio signal.In bandwidth efficient channel, the intersymbol interference (InterSymbolInterference, ISI) caused due to multipath effect can make the radio signal be transmitted produce distortion, thus produces error code in the communication data received.
Intersymbol interference becomes the major obstacle affecting receptivity, and channel equalization overcomes a kind of effective technology of intersymbol interference just, and it can compensate the decline in bandwidth efficient channel and phase shift problem, improves receptivity with this.Given this, most channel equalization technique all depends on channel estimating, by channel estimating, amplitude and time delay (i.e. the amount of decline and phase shift) estimation are carried out to the characteristic of channel that communication data is gone through, and then adopt suitable Channel Equalization Algorithm to compensate according to the channel estimation value obtained, such as: zero forcing algorithm, least-mean-square error algorithm etc.
For above-described equalization methods, the tap number of general channel estimating is longer, corresponding balance module also needs more complicated, channel equalization module is often designed to fixed structure in the implementation, now, the channel estimating tap number of balance module reference also (supposes that the length of channel tap is fixed as n) with regard to being fixed up, now run into long time delay scene namely when channel estimation value is l (l > n) footpath, be equivalent to during equalizer processes directly the channel tap being greater than n footpath be abandoned, and only carry out channel equalization by remaining n footpath channel tap (in other words remaining n footpath channel estimation value).Process like this, there is long time delay and still have in the channel tap being greater than n footpath comparatively macro-energy time, will directly cause channel equalization result not reach optimum, thus have impact on 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 prior art, there is long time delay and still have in the channel tap be dropped comparatively macro-energy time, by directly causing channel equalization result not reach optimum, reduce 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:
Received communication data;
Carry out channel estimating;
Brachymemma filtering process is performed, to obtain the channel estimation value after brachymemma to the channel estimation value obtained;
Same brachymemma filtering process is performed, to obtain the filtered communication data of brachymemma to the communication data received;
The channel estimation value after described brachymemma and the filtered communication data of brachymemma is utilized 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:
Wherein, σ
2for white noise power, I is unit matrix, H
tfor the matrix obtained according to channel estimation value,
for H
tconjugate transpose.
Optionally, in the optimization method of described channel equalization, the footpath number of the channel estimation value after brachymemma is a predetermined value.
Optionally, in the optimization method of described channel equalization, the footpath number of the channel estimation value after brachymemma is 6 footpaths.
The present invention also provides a kind of optimization device of channel equalization, comprising: receiver module, channel estimation module, the first processing module, the second processing module, channel equalization module, wherein,
Receiver module, in order to received communication data;
Channel estimation module, in order to carry out channel estimating;
First processing module, in order to perform brachymemma filtering process to the channel estimation value obtained, to obtain the channel estimation value after brachymemma;
Second processing module, in order to perform same brachymemma filtering process, to obtain the filtered communication data of brachymemma to the communication data received;
Channel equalization module, carries out channel equalization in order to utilize the channel estimation value after described brachymemma and the filtered communication data of 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:
Wherein, σ
2for white noise power, I is unit matrix, H
tfor the matrix obtained according to channel estimation value,
for H
tconjugate transpose.
Optionally, in the optimization device of described channel equalization, the footpath number of the channel estimation value after brachymemma is a predetermined value.
Optionally, in the optimization device of described channel equalization, the footpath number of the channel estimation value after 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 obtained is monitored, if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, perform step 4, otherwise, perform step 6;
Step 4: brachymemma filtering process is performed, to obtain the channel estimation value after brachymemma to the channel estimation value obtained;
Step 5: same brachymemma filtering process is performed, to obtain the filtered communication data of brachymemma to the communication data received;
Step 6: utilize the channel estimation value after channel estimation value/brachymemma and the filtered communication data of communication data/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, the first processing module, the second processing module, channel equalization module, wherein,
Receiver module, in order to received communication data;
Channel estimation module, in order to carry out channel estimating;
Monitoring modular, in order to monitor the channel estimation value obtained, if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, start the first processing module and the second processing module, otherwise, do not start the first processing module and the second processing module;
First processing module, in order to perform brachymemma filtering process to the channel estimation value obtained, to obtain the channel estimation value after brachymemma;
Second processing module, in order to perform same brachymemma filtering process, to obtain the filtered communication data of brachymemma to the communication data received;
Channel equalization module, carries out channel equalization in order to utilize the channel estimation value after channel estimation value/brachymemma and the filtered communication data of communication data/brachymemma.
In the optimization method and device of channel equalization provided by the invention, by carrying out brachymemma filtering process to channel estimation value and communication data, the channel estimation value after brachymemma and the filtered communication data of brachymemma is utilized to carry out channel equalization, it does not directly abandon the channel tap still had compared with macro-energy, but make the channel tap energies that must abandon little as far as possible by filtering, the channel equalization performance under long time delay is improved with this.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the optimization method of the channel equalization of the embodiment of the present invention one;
Fig. 2 is the mount structure schematic diagram of the optimization device of the channel equalization of the embodiment of the present invention one;
Fig. 3 is the schematic flow sheet of the optimization method of the channel equalization of the embodiment of the present invention two;
Fig. 4 is the mount structure schematic diagram of the optimization device of the channel equalization of the embodiment of the present invention two.
Embodiment
Below in conjunction with the drawings and specific embodiments, the optimization method of channel equalization provided by the invention and device are described in further detail.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 the form simplified very much, only in order to object that is convenient, the aid illustration embodiment of the present invention lucidly.
Core concept of the present invention is, when carrying out channel equalization, the number of channel taps of its channel estimation value that can utilize is when channel estimation value footpath number is subject to hardware constraints in other words, directly directly do not abandoned being greater than the channel estimation value footpath number that hardware can process, but brachymemma filtering process is carried out to the communication data of channel estimation value and reception, by brachymemma filtering process, substantially reduce the part tap energies being greater than the channel estimation value footpath number that hardware can process, also therefore dropped to minimum abandon channel tap to the harmful effect that demodulation produces.Thus, for long time delay scene, hardware handles condition can be met, the performance of channel equalization can be improved again.
Embodiment one
Please refer to Fig. 1, it is the schematic flow sheet of the optimization method of the channel equalization of the embodiment of the present 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: brachymemma filtering process is performed, to obtain the channel estimation value after brachymemma to the channel estimation value obtained;
S13: same brachymemma filtering process is performed, to obtain the filtered communication data of brachymemma to the communication data received;
S14: utilize the channel estimation value after described brachymemma and the filtered communication data of brachymemma to carry out channel equalization.
Accordingly, the 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 the optimization device of the channel equalization of the embodiment of the present 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, in order to received communication data;
Channel estimation module 21, in order to carry out channel estimating;
First processing module 22, in order to perform brachymemma filtering process to the channel estimation value obtained, to obtain the channel estimation value after brachymemma;
Second processing module 23, in order to perform same brachymemma filtering process, to obtain the filtered communication data of brachymemma to the communication data received;
Channel equalization module 24, carries out channel equalization in order to utilize the channel estimation value after described brachymemma and the filtered communication data of brachymemma.
In the optimization method of the channel equalization provided at the present embodiment and device, by carrying out brachymemma filtering process to channel estimation value and communication data, the channel estimation value after described brachymemma and the filtered communication data of brachymemma is utilized to carry out channel equalization, namely directly the abandoning of channel tap for still having compared with macro-energy is prevented, thus avoid there is long time delay and still have in the channel tap be dropped comparatively macro-energy time, the channel equalization result caused does not reach optimum problem, thus improves the performance of channel equalization.
Concrete, described receiver module 20 is connected with channel estimation module 21 and the second processing module 23 signal, the communication data transfer received is carried out channel estimating to channel estimation module 21, and be transferred to the second processing module 23 to perform brachymemma filtering process to the communication data received, thus obtain the filtered communication data of brachymemma.Described channel estimation module 21 is also connected with the first processing module 22 signal, the channel estimation value obtained is transferred to the first processing module 22, to perform brachymemma filtering process to channel estimation value, to obtain the channel estimation value after brachymemma.Simultaneously, described first processing module 22 and the second processing module 23 are all connected with channel equalization module 24 signal, respectively the channel estimation value after filtered for the brachymemma obtained communication data and brachymemma is transferred to channel equalization module 24, the channel estimation value after described channel equalization module 24 utilizes the filtered communication data of described brachymemma and brachymemma carries out channel equalization.
In the present embodiment, carry out channel estimating by existing various channel estimation methods, the application repeats no more this.Simultaneously, after channel equalization module 24 obtains the channel estimating after the filtered communication data of brachymemma and brachymemma, it utilizes existing various channel equalization method to carry out channel equalization to the communication data after this brachymemma and the channel estimation value after brachymemma, such as: 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 making this brachymemma filtering process illustrates, and at this, described brachymemma filtering is treated to matrix f
mmseconversion, described matrix f
mmseconversion obtains according to following formula:
Wherein, σ
2for white noise power, I is unit matrix, H
tfor the matrix obtained according to channel estimation value,
for H
tconjugate transpose.But, it should be noted that, in other embodiments of the invention, described brachymemma filtering process also can be other matrixing operation, key is to carry out brachymemma filtering process, to meet hardware handles condition to the communication data of channel estimation value and reception.
At this, suppose that the channel tap of channel estimation value is h=(h
0, h
1, K, h
l-1)
t, length is l, and namely channel estimation value is l footpath, if brachymemma filtering processing and utilizing channel tap brachymemma filter, its coefficient is f=(f
0, f
1, K, f
m-1)
t, length is m, then the channel tap after the pre-filtering of brachymemma filter is,
length is l+m-1.Obviously, h, f, h ' meets
h*f＝h′(1.1)
At this, the footpath number of the channel estimation value after brachymemma is a predetermined value n, front n the tap of the channel tap h ' namely after the pre-filtering of brachymemma filter is not 0 (n < l), and then l+m-n-1 channel tap is all 0 (or being approximately 0).
Then, known l, m, n, h and to the constraints of h ' (channel tap h ' front n tap be not 0 (n < l), then l+m-n-1 channel tap is all 0) under, ask the optimal solution of f:
First h is rewritten as convolution matrix H, makes
H·f＝h′(1.2)
Wherein, H is Toeplitz matrix.
Make H remove 1st ~ n-1 capable after matrix be H
t, h ' removes the vector after 1st ~ n-1 element and is
then obtained by (1.2)
Wherein,
0 is except first element.Without loss of generality, suppose
first element be 1.
Then, solving equation is carried out to (1.3), but, due to H
tpseudoinverse not full rank, ZF solution is not directly asked to this equation.But in (1.3) formula, introduce white Gaussian noise vector δ, thus, obtain following (1.4) formula:
Then ask the MMSE (least mean-square error) of this (1.4) formula to separate, thus obtain matrix f
mmseconversion:
Wherein, σ
2i=E{ δ δ
h.
Obtaining matrix f
mmseafter conversion, only need by channel estimation value (matrix h) and matrix f
mmseconversion do multiplying just can obtain brachymemma after channel estimation value h
t, same, the communication data r of reception and matrix f
mmseconversion is done multiplying and just can be obtained the filtered communication data r ' of brachymemma.
Then, the channel estimation value h after this brachymemma is utilized by channel equalization module 24
tand the filtered communication data r ' of brachymemma carries out channel equalization.
At this, the optimization method of above-mentioned channel equalization is utilized to investigate MCS5 ~ 7 in EDGE system, wherein, channel equalization module 24 adopts RSSE, investigate the HT12 footpath channel that gsm protocol 3GPPTS45.005 provides, this channel still has at the 7th footpath place the channel tap that energy is larger, belongs to long time delay scene.With according to 6 footpath Channel Processing, also namely directly the 7th footpath is abandoned and compare, in the optimization method of the channel equalization of the present embodiment, 7 footpath channel estimation values are punctured into 6 footpath channel estimation values, and then are processed by channel equalization module 24 according to 6 footpath channel estimation values, namely now l gets 7, n gets 6, meanwhile, considers that the performance m of device gets 17, MCS5 ~ 7 all obtain obvious gain thus, such as, obtain the gain of about 3 ~ 4dB at the specification reference level place of MCS6.
Embodiment two
Please refer to Fig. 3, it is the schematic flow sheet of the optimization method of the channel equalization of the embodiment of the present 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 obtained is monitored, if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, be namely judged as long time delay scene, perform step 4, otherwise, perform step 6;
Step 4: brachymemma filtering process is performed, to obtain the channel estimation value after brachymemma to the channel estimation value obtained;
Step 5: same brachymemma filtering process is performed, to obtain the filtered communication data of brachymemma to the communication data received;
Step 6: utilize the channel estimation value after channel estimation value/brachymemma and the filtered communication data of communication data/brachymemma to carry out channel equalization.
Accordingly, the 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 the optimization device of the channel equalization of the embodiment of the present 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, in order to received communication data;
Channel estimation module 41, in order to carry out channel estimating;
Monitoring modular 42, in order to monitor the channel estimation value obtained, if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, start the first processing module 43 and the second processing module 44, otherwise, do not start the first processing module 43 and the second processing module 44;
First processing module 43, in order to perform brachymemma filtering process to the channel estimation value obtained, to obtain the channel estimation value after brachymemma;
Second processing module 44, in order to perform same brachymemma filtering process, to obtain the filtered communication data of brachymemma to the communication data received;
Channel equalization module 45, carries out channel equalization in order to utilize the channel estimation value after channel estimation value/brachymemma and the filtered communication data of communication data/brachymemma.
The difference of the present embodiment and embodiment one is, adds 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, first judged the need of carrying out brachymemma filtering process to the communication data received and channel estimation value, when needs carry out brachymemma filtering process, respectively brachymemma filtering process is carried out to channel estimation value and communication data by the first processing module 43 and the second processing module 44, then utilize the channel estimation value after brachymemma and the filtered communication data of brachymemma to carry out channel equalization by channel equalization module 45; Otherwise, utilize channel estimation value and communication data to carry out channel equalization with regard to direct by channel equalization module 45.Thus, the most appropriate process can be given respectively for different situations, thus further increase the performance of channel equalization.
Foregoing description is only the description to present pre-ferred embodiments, any restriction not to the scope of the invention, and any change that the those of ordinary skill in field of the present invention does according to above-mentioned disclosure, modification, all belong to the protection range of claims.
Claims (16)
1. an optimization method for channel equalization, is characterized in that, comprising:
Received communication data;
Carry out channel estimating;
Brachymemma filtering process is performed, to obtain the channel estimation value after brachymemma to the channel estimation value obtained;
Same brachymemma filtering process is performed, to obtain the filtered communication data of brachymemma to the communication data received;
The channel estimation value after described brachymemma and the filtered communication data of brachymemma is utilized to carry out channel equalization.
2. the optimization method of channel equalization as claimed in claim 1, it is characterized in that, described brachymemma filtering is treated to matrix f
mmseconversion, described matrix f
mmseconversion obtains according to following formula:
Wherein, σ
2for white noise power, I is unit matrix, H
tfor the matrix obtained according to channel estimation value,
for H
tconjugate transpose.
3. the optimization method of channel equalization as claimed in claim 2, it is characterized in that, the footpath number of the channel estimation value after brachymemma is a predetermined value.
4. the optimization method of channel equalization as claimed in claim 3, it is characterized in that, the footpath number of the channel estimation value after brachymemma is 6 footpaths.
5. an optimization device for channel equalization, is characterized in that, comprising: receiver module, channel estimation module, the first processing module, the second processing module, channel equalization module, wherein,
Receiver module, in order to received communication data;
Channel estimation module, in order to carry out channel estimating;
First processing module, in order to perform brachymemma filtering process to the channel estimation value obtained, to obtain the channel estimation value after brachymemma;
Second processing module, in order to perform same brachymemma filtering process, to obtain the filtered communication data of brachymemma to the communication data received;
Channel equalization module, carries out channel equalization in order to utilize the channel estimation value after described brachymemma and the filtered communication data of brachymemma.
6. the optimization device of channel equalization as claimed in claim 5, it is characterized in that, described brachymemma filtering is treated to matrix f
mmseconversion, described matrix f
mmseconversion obtains according to following formula:
Wherein, σ
2for white noise power, I is unit matrix, H
tfor the matrix obtained according to channel estimation value,
for H
tconjugate transpose.
7. the optimization device of channel equalization as claimed in claim 6, it is characterized in that, the footpath number of the channel estimation value after brachymemma is a predetermined value.
8. the optimization device of channel equalization as claimed in claim 7, it is characterized in that, the footpath number of the channel estimation value after brachymemma is 6 footpaths.
9. an optimization method for channel equalization, is characterized in that, comprising:
Step 1: received communication data;
Step 2: carry out channel estimating;
Step 3: the channel estimation value obtained is monitored, if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, perform step 4, otherwise, perform step 6;
Step 4: brachymemma filtering process is performed, to obtain the channel estimation value after brachymemma to the channel estimation value obtained;
Step 5: same brachymemma filtering process is performed, to obtain the filtered communication data of brachymemma to the communication data received;
Step 6: if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, utilize the channel estimation value after brachymemma and the filtered communication data of brachymemma to carry out channel equalization; Otherwise, utilize channel estimation value and communication data to carry out channel equalization.
10. the optimization method of channel equalization as claimed in claim 9, it is characterized in that, described brachymemma filtering is treated to matrix f
mmseconversion, described matrix f
mmseconversion obtains according to following formula:
Wherein, σ
2for white noise power, I is unit matrix, H
tfor the matrix obtained according to channel estimation value,
for H
tconjugate transpose.
The optimization method of 11. channel equalizations as claimed in claim 10, is characterized in that, the footpath number of the channel estimation value after brachymemma is a predetermined value.
The optimization method of 12. channel equalizations as claimed in claim 11, is characterized in that, the footpath number of the channel estimation value after brachymemma is 6 footpaths.
The optimization device of 13. 1 kinds of channel equalizations, is characterized in that, comprising: receiver module, channel estimation module, monitoring modular, the first processing module, the second processing module, channel equalization module, wherein,
Receiver module, in order to received communication data;
Channel estimation module, in order to carry out channel estimating;
Monitoring modular, in order to monitor the channel estimation value obtained, if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, start the first processing module and the second processing module, otherwise, do not start the first processing module and the second processing module;
First processing module, in order to perform brachymemma filtering process to the channel estimation value obtained, to obtain the channel estimation value after brachymemma;
Second processing module, in order to perform same brachymemma filtering process, to obtain the filtered communication data of brachymemma to the communication data received;
Channel equalization module, if the footpath number of channel estimation value be greater than a predetermined value and the energy exceeding these footpaths of predetermined value should not be ignored more greatly time, carry out channel equalization in order to utilize the channel estimation value after brachymemma and the filtered communication data of brachymemma; Otherwise, carry out channel equalization in order to utilize channel estimation value and communication data.
The optimization device of 14. channel equalizations as claimed in claim 13, it is characterized in that, described brachymemma filtering is treated to matrix f
mmseconversion, described matrix f
mmseconversion obtains according to following formula:
Wherein, σ
2for white noise power, I is unit matrix, H
tfor the matrix obtained according to channel estimation value,
for H
tconjugate transpose.
The optimization device of 15. channel equalizations as claimed in claim 14, is characterized in that, the footpath number of the channel estimation value after brachymemma is a predetermined value.
The optimization device of 16. channel equalizations as claimed in claim 15, is characterized in that, the footpath number of the channel estimation value after brachymemma is 6 footpaths.
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| EP0589768A1 (en) * | 1992-09-25 | 1994-03-30 | Alcatel N.V. | Filter apparatus for sequence estimation equaliser |
| CN101390299A (en) * | 2006-01-24 | 2009-03-18 | 诺基亚公司 | Apparatus and methods for implementing a split equalizer filter for sparse channels |
| CN102111360A (en) * | 2011-03-14 | 2011-06-29 | 中国人民解放军海军航空工程学院 | Algorithm for dynamically switching channel equalization based on real-time signal-to-noise ratio estimation |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0589768A1 (en) * | 1992-09-25 | 1994-03-30 | Alcatel N.V. | Filter apparatus for sequence estimation equaliser |
| CN101390299A (en) * | 2006-01-24 | 2009-03-18 | 诺基亚公司 | Apparatus and methods for implementing a split equalizer filter for sparse channels |
| CN102111360A (en) * | 2011-03-14 | 2011-06-29 | 中国人民解放军海军航空工程学院 | Algorithm for dynamically switching channel equalization based on real-time signal-to-noise ratio estimation |
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