CN102647376B - Signal processing method and device as well as terminal - Google Patents
Signal processing method and device as well as terminal Download PDFInfo
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- CN102647376B CN102647376B CN201210067115.3A CN201210067115A CN102647376B CN 102647376 B CN102647376 B CN 102647376B CN 201210067115 A CN201210067115 A CN 201210067115A CN 102647376 B CN102647376 B CN 102647376B
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Abstract
The invention discloses a signal processing method and device as well as a terminal, belonging to the technical field of signal processing. The signal processing method comprises the following steps of: sampling a burst pulse sequence in receiving signals, so as to obtain a sampling sequence; taking a training sequence of the sampling sequence as a first reference sequence, and carrying out primary judgment feedback balance on the sampling sequence by the first reference sequence, so as to obtain a first soft value; obtaining a second reference sequence according to the first soft value and the training sequence, and carrying out secondary judgment feedback balance on the sampling sequence by using the second reference sequence, so as to obtain a second soft value; obtaining an encoding sequence by decoding and encoding the second soft value; obtaining a third reference sequence according to the encoding sequence and the training sequence, and carrying out third-time judgment feedback balance on the sampling sequence by using the third reference sequence, so as to obtain a third soft value; and obtaining a decoding result of the sampling sequence by decoding the third soft value. The signal processing method and device provided by the embodiment of the invention can improve the anti-jamming property in a process of receiving single antenna signals.
Description
Technical field
The present invention relates to signal processing technology field, particularly a kind of signal processing method and device and terminal.
Background technology
Along with the continuous growth of user and the increase of high-speed data service application, the capacity requirement of communication system is improved constantly.In order to improve the capacity of communication system on limited frequency spectrum resource, usually can reduce the cell reuse factor to improve the reusability of frequency spectrum resource, so improve system can bearer cap.But while the reduction cell reuse factor, the distance between co-frequency cell reduces relatively, and the co-channel interference from adjacent co-channel community can be caused like this to increase to some extent.Like this, just require that the interference free performance of receiving terminal increases.But for many-sided considerations such as cost, volume, power consumptions, mobile terminal is only configured with a reception antenna usually, ensure the receptivity of mobile terminal, just seems essential to the research of single antenna interference cancellation technology.
In existing method for single antenna interference elimination, the signal received antenna is usually needed to carry out twice equilibrium.Wherein, when first time is balanced, the reference sequences that calculating filter coefficient adopts is the training sequence of burst sequence, and when second time is balanced, select in the soft value that can export after first time is balanced multiplely to do hard decision, and court verdict is carried out calculating filter coefficient as new reference sequences together with training sequence, then adopt this filter factor to carry out second time equilibrium to received signal, the soft value exported after second time is balanced sends into decoding module decoding, obtains decode results.
At least there is following problem in prior art:
When second time is balanced, the reference sequences that calculating filter coefficient adopts comprises the court verdict of soft value and the training sequence of burst sequence of first time balanced output, the soft value exported because first time is balanced estimates to there is error, and the symbol of the court verdict selected may be inaccurate, so the reference sequences obtained is not accurate enough, the filter factor calculated according to this is also not accurate enough, thus limits the anti-jamming effectiveness of method for single antenna interference elimination.
Summary of the invention
In order to solve that prior art exists balanced time reference sequences inaccurate, the anti-jamming effectiveness that affects interference elimination method problem, embodiments provide a kind of signal processing method and device and terminal.Described technical scheme is as follows:
On the one hand, embodiments provide a kind of signal processing method, the method comprises:
Burst sequence in samples receive signal, to obtain sample sequence;
Be the first reference sequences with the training sequence of described sample sequence, and with described first reference sequences, a decision feedback equalization carried out to described sample sequence, to obtain the first soft value;
Obtain the second reference sequences according to described first soft value and described training sequence, and with described second reference sequences, second judgement feedback equalization is carried out to described sample sequence, to obtain the second soft value;
To the first decoding re-encoding of described second soft value, obtain coded sequence;
Obtain the 3rd reference sequences according to described coded sequence and described training sequence, and with described 3rd reference sequences, three decision feedback equalizations are carried out to described sample sequence, to obtain the 3rd soft value;
To described 3rd soft value decoding, to obtain the decode results of described sample sequence.
On the other hand, the embodiment of the present invention additionally provides a kind of signal processing apparatus, and this device comprises:
Acquisition module, for the burst sequence in samples receive signal, to obtain sample sequence;
First balance module, for being the first reference sequences with the training sequence of described sample sequence, and carries out a decision feedback equalization with described first reference sequences to the sample sequence that described acquisition module obtains, to obtain the first soft value;
Second balance module, for according to described first balance module export the first soft value and described training sequence obtain the second reference sequences, and with described second reference sequences, decision feedback equalization is carried out to the sample sequence that described acquisition module obtains, to obtain the second soft value;
Decoding module, for the second soft value decoding exported described second balance module;
Coding module, for encoding to the decode results after the second soft value decoding to described decoding module, obtains coded sequence; And
3rd balance module, the 3rd reference sequences is obtained for the coded sequence that exports according to described coding module and described training sequence, and with described 3rd reference sequences, three decision feedback equalizations are carried out to the sample sequence that described acquisition module obtains, to obtain the 3rd soft value;
The three soft value decoding of described decoding module also for exporting the 3rd balance module, to obtain the decode results of described sample sequence.
Again on the one hand, the embodiment of the present invention additionally provides a kind of terminal, and this terminal comprises aforementioned signal processing unit.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is: by decode results recompile is obtained coded sequence corresponding to sample sequence, and obtain the 3rd reference sequences according to coded sequence and training sequence, reference sequences accuracy when the accuracy of the 3rd reference sequences is balanced with second time in prior art increases, so the filter factor adopting the 3rd reference sequences to calculate is more accurate, interference can be eliminated better, improve the receptivity of terminal.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the flow chart of the signal processing method provided in the embodiment of the present invention 1;
Fig. 2 a is the flow chart of the signal processing method provided in the embodiment of the present invention 2;
Fig. 2 b is the structural representation of the NB (Normal Burst, Normal bursts sequence) in GSM (Global System For Mobile Communication, global system for mobile communications);
Fig. 3 is the structured flowchart of the signal processing apparatus provided in the embodiment of the present invention 3;
Fig. 4 is the structured flowchart of the signal processing apparatus provided in the embodiment of the present invention 4.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Embodiment 1
As shown in Figure 1, embodiments provide a kind of signal processing method, the method comprises:
Step 101: the burst sequence in samples receive signal, to obtain sample sequence.
Particularly, burst sequence includes but not limited to NB, FB (Frequency Correction Burst, frequency correction bursts sequence), SB (Synchronization Burst, Synchronization Burst sequence), AB (Access Burst, access burst pulse train), DB (Dummy Burst, not busy burst sequence).
Step 102: be the first reference sequences with training sequence, and with this first reference sequences, a decision feedback equalization is carried out to sample sequence, to obtain the first soft value.
Training sequence is transmitting terminal and receiving terminal sequence in common knowledge, can be in receivers pre-configured.
Step 103: obtain the second reference sequences according to the first soft value and this training sequence, and with this second reference sequences, second judgement feedback equalization is carried out to this sample sequence, to obtain the second soft value.
Step 104: to the first decoding re-encoding of the second soft value, obtain coded sequence.
Step 105: obtain the 3rd reference sequences according to coded sequence and training sequence, and with the 3rd reference sequences, three decision feedback equalizations are carried out to sample sequence, to obtain the 3rd soft value.
Step 106: to the 3rd soft value decoding, to obtain the decode results of this sample sequence.
The embodiment of the present invention is by obtaining coded sequence corresponding to sample sequence by decode results recompile, and obtain the 3rd reference sequences according to coded sequence and this training sequence, reference sequences accuracy when the accuracy of the 3rd reference sequences is balanced with second time in prior art increases, so the filter factor adopting the 3rd reference sequences to calculate is more accurate, interference can be eliminated better, improve the receptivity of terminal.
Embodiment 2
The present embodiment, for the NB in GSM, is described in detail to the embodiment of the present invention.First composition graphs 2b, simply introduces the structure of NB below.As shown in Figure 2 b; a complete NB length is 156 bits; comprise 3 tail bits, 58 encrypting bit, 26 training bits, 58 encrypting bit, 3 tail bits and 8 protection bits successively; wherein; encrypting bit is used for beared information, and training bits may be used for synchronous location and channel estimating.Easily know, the embodiment of the present invention is equally applicable to other burst sequences such as SB.
As shown in Figure 2 a, present embodiments provide a kind of signal processing method, the method comprises:
Step 201: the NB in samples receive signal, to obtain the sample sequence of NB.
Further, in this step, the sample sequence of NB comprises strange sample sequence and even sample sequence.
Obviously, encrypting bit and training bits is included in each sample sequence (strange sample sequence and even sample sequence).Hereinafter, encrypting bit and training bits all refer to value corresponding with this bit position in the structure of NB in sample sequence.
Particularly, the burst sequence during this step needs elder generation to received signal is synchronously located (can be realized by synchronized tracking module), with the bit position of the burst sequence in Received signal strength of aliging.Synchronous location technology is known for those skilled in the art, therefore omits at this and describe in detail.
Step 202: calculate the first filter factor according to sample sequence and the first reference sequences.
Particularly, this step comprises: the training sequence according to the training bits in sample sequence and sample sequence calculates the first filter factor.Wherein, training sequence is transmitting terminal and receiving terminal sequence in common knowledge, and this knows for those skilled in the art, omits describe in detail at this.
Further, this step specifically comprises:
Strange sample sequence and the first filter factor corresponding to even sample sequence is calculated respectively according to the training sequence of the training bits in strange sample sequence and even sample sequence and sample sequence.
Further, can according to the first filter factor of a following formulae discovery sample sequence.
F
LS＝(Z
TZ)
-1Z
TD (1)
Wherein, F
lSfor the filter coefficient matrices calculated according to principle of least square method, Z is Received signal strength observing matrix,
for N
tS× 1 dimension training sequence matrix, d (k) is a training sequence kth symbol, N
tSfor the number of training symbol in burst sequence, concerning NB, N
tSbe 26.
Simply introduce the derivation of formula (1) below.
Suppose that Received signal strength model is as follows:
Wherein, h (n) is desired signal impulse response, and length is N, d (k) is desired signal; P (m) and q (j) is interference signal channel impulse response, and length is respectively M and J, and b (k) and c (k) is interference signal; N (k) is white Gaussian noise.Wherein interference signal may have multiple, merely illustrates two here.
Only be concerned about the training bits in sample sequence below, so, the estimation of training sequence kth symbol d (k)
according to following formulae discovery:
Wherein f (n) represents the n-th filter coefficient, and L is the length of filter; R (k) is Received signal strength sample sequence, and k0 is time delay factor.K0 can be obtained by the synchronous location in step 201.
Definition error Metric function is:
By minimizing the error Metric function Err in formula (4), the object eliminating interference can be reached, obtain optimal filter coefficient.By the function of formula (4), then formula (2) can be write as matrix form:
Wherein,
for training sequence estimated value matrix.Z is Received signal strength observing matrix.F is filter coefficient matrices.
Utilize principle of least square method namely can obtain formula (1) by formula (5).
What more than calculate is the filter coefficient that specific time delay k0 is corresponding, is commonly referred to single footpath model.This principle can expand to the situation of multipath, the k0 value that every footpath correspondence one is different.Suppose that actual synchronization position may occur in reference in Δ interval before and after sync bit (can be provided by synchronized tracking module), such as former and later two bit positions (i.e. Δ=2).To each hypothesis time delay, above algorithm can be applied.For improving demodulation performance, many group filters can be adopted N
dmany footpath filtering respectively, obtain the soft value that multiple time delay is corresponding, then soft value corresponding for each time delay are added and give decoding module decoding.
Preferably, under multipath conditions, calculate the first filter factor according to sample sequence and the first reference sequences, specifically comprise:
Calculate the filter factor that multiple time delay is corresponding, and merge filter factor corresponding to multiple time delay, thus obtain the first filter factor.That is, for strange sample sequence, calculate the filter factor that multiple time delay is corresponding, then merged and obtain the first filter factor corresponding to strange sample sequence; Similarly, for even sample sequence, calculate the filter factor that multiple time delay is corresponding, then merged and obtain the first filter factor corresponding to even sample sequence.
Particularly, formula (6) can be adopted to merge filter factor:
Wherein N
d=2 Δs+1 are hypothesis time delay footpath number, i.e. filter tap coefficients, F
nbe that linear equalizer corresponding to the n-th time delay exports, ε
nbe that noise corresponding to the n-th time delay is estimated.
That is, by original N
dthe filter coefficient vector F that footpath is corresponding
n(n=0,1...N
d) divided by the noise energy ε in corresponding footpath
n(n=0,1...N
d), can by N
da filter merged into by the filter in footpath, and then raises the efficiency and reduce costs.
Step 203: adopt the first filter factor to carry out filtering to sample sequence, obtains the first soft value that encrypting bit exports after a decision feedback equalization.
For the situation that sample sequence comprises strange sample sequence and even sample sequence, this step needs carrying out a decision feedback equalization (i.e. filtering) to strange sample sequence and even sample sequence respectively, and addition merging is carried out to a decision feedback equalization result of strange sample sequence and even sample sequence, obtain the first soft value.Concrete steps are as follows:
First filter factor corresponding according to strange sample sequence carries out filtering to sample sequence, exports first soft value corresponding with strange sample sequence;
First filter factor corresponding according to even sample sequence carries out filtering to sample sequence, exports first soft value corresponding with even sample sequence;
First soft value of strange sample sequence and the first soft value of even sample sequence are carried out addition to merge, obtain the first soft value of encrypting bit.
Can realize carrying out a decision feedback equalization according to the first reference sequences to sample sequence by above-mentioned steps 202-203, export the first soft value.That is, in this application, decision feedback equalization comprises calculating filter coefficient and carries out filtering according to the filter factor calculated to sample sequence.
Step 204: select the first soft value of predetermined number to carry out hard decision, obtain court verdict.
Particularly, the first selected soft value generally includes: the soft value that absolute value is large compared with not selected first soft value.Can be gone on record by the bit position of the first soft value in sample sequence selected.
Further, the first selected soft value can also comprise the first soft value corresponding to the rear bit position of the first soft value that in sample sequence, the last bit position of training bits is corresponding and training bits.
Preferably, the number of the first soft value of selection is 10 ~ 20.
Step 205: using court verdict and training sequence as the second reference sequences, and calculate the second filter factor according to sample sequence and the second reference sequences.
Similarly, identical with step 202, need the second filter factor calculating strange sample sequence and even sample sequence respectively.
The Computing Principle of the second filter factor is identical with the Computing Principle of the first filter factor, does not repeat them here.
Step 206: adopt the second filter factor to carry out filtering to sample sequence, obtains the second soft value that encrypting bit exports after second judgement feedback equalization.
Similarly, identical with step 203, need to carry out filtering to strange sample sequence and even sample sequence respectively, thus obtain the second soft value of the encrypting bit in the second soft value of the encrypting bit in strange sample sequence and even sample sequence; Then the second soft value of strange sample sequence and the second soft value of even sample sequence are carried out addition to merge, obtain the second soft value.
Can realize carrying out second judgement feedback equalization according to the second reference sequences to sample sequence by above-mentioned steps 205-206, export the second soft value.
Step 207: carrying out decoding to being added the second soft value after merging, obtaining decode results.
Step 208: recompile is carried out to the decode results after the second soft value decoding, obtains coded sequence.
Particularly, the coding method identical with transmitting terminal is adopted to carry out recompile to decode results.
Step 209: using in coded sequence with by the corresponding symbol in the bit position of the first soft value in sample sequence selected and training sequence as the 3rd reference sequences, and calculate the 3rd new filter factor according to sample sequence and the 3rd reference sequences.
The Computing Principle of the 3rd filter factor is identical with the Computing Principle of the first filter factor, does not repeat them here.
Step 210: adopt the 3rd filter factor to carry out filtering to sample sequence, to obtain the 3rd soft value.
Can realize carrying out three decision feedback equalizations with the 3rd reference sequences to sample sequence by above-mentioned steps 209-210, obtain the 3rd soft value.
Step 211: to the 3rd soft value decoding, to obtain the decode results of this sample sequence.
The embodiment of the present invention is by obtaining coded sequence corresponding to sample sequence by decode results recompile, and obtain the 3rd reference sequences according to the training sequence of coded sequence and this sample sequence, reference sequences accuracy when the accuracy of the 3rd reference sequences is balanced with second time in prior art increases, so the filter factor adopting the 3rd reference sequences to calculate is more accurate, interference can be eliminated better, improve the receptivity of terminal.In addition, the present embodiment, by arranging strange sample sequence and even sample sequence, can improve gain, improves the interference free performance of the embodiment of the present invention further.
Embodiment 3
As shown in Figure 3, present embodiments provide a kind of signal processing apparatus, be applicable to realize the signal processing method that embodiment 1 provides, this device comprises:
Acquisition module 301, for burst sequence in samples receive signal, to obtain sample sequence;
First balance module 302, for being the first reference sequences with the training sequence of described sample sequence, and carries out a decision feedback equalization with the first reference sequences to the sample sequence that acquisition module 301 obtains, to obtain the first soft value;
Second balance module 303, the first soft value for exporting according to the first balance module 302 obtains the second reference sequences with this training sequence, and with the second reference sequences, second judgement feedback equalization is carried out to the sample sequence that acquisition module 301 obtains, to obtain the second soft value;
Decoding module 304, for the second soft value decoding exported the second balance module 303;
Coding module 305, obtains coded sequence for carrying out coding to decoding module 304 to the decode results after the second soft value decoding; And
3rd balance module 306, obtains the 3rd reference sequences for the coded sequence that exports according to coding module 305 and training sequence, and carries out three decision feedback equalizations with the 3rd reference sequences to the sample sequence that acquisition module 301 obtains, to obtain the 3rd soft value.
In actual applications, the second balance module 303 and the 3rd balance module 306 can be same module.In this case, can simplification device structure further, reduce costs.
The embodiment of the present invention is by obtaining coded sequence corresponding to sample sequence by decode results recompile, and obtain the 3rd reference sequences according to the training sequence of coded sequence and this sample sequence, reference sequences accuracy when the accuracy of the 3rd reference sequences is balanced with second time in prior art increases, so the filter factor adopting the 3rd reference sequences to calculate is more accurate, interference can be eliminated better, improve the receptivity of terminal.
Embodiment 4
As shown in Figure 4, embodiments provide a kind of signal processing apparatus, be applicable to realize the signal processing method that embodiment 2 provides, this device comprises:
Acquisition module 401, for the burst sequence in samples receive signal, to obtain sample sequence;
First balance module 402, for being the first reference sequences with the training sequence of described sample sequence, and carries out a decision feedback equalization with the first reference sequences to the sample sequence that acquisition module 401 obtains, to obtain the first soft value;
Second balance module 403, for according to first balance module 402 export the first soft value and training sequence obtain the second reference sequences, and with the second reference sequences, second judgement feedback equalization is carried out to the sample sequence that acquisition module 401 obtains, to obtain the second soft value;
Decoding module 404, for the second soft value decoding exported the second balance module 403;
Coding module 405, for carrying out coding to the decode results after the second soft value decoding and obtain coded sequence decoding module 404;
Second balance module 403, also obtains the 3rd reference sequences for the coded sequence that exports according to coding module 405 and training sequence, and carries out three decision feedback equalizations with the 3rd reference sequences to the sample sequence that acquisition module 401 obtains, to obtain the 3rd soft value.
Further, the first balance module 402 comprises:
First coefficient calculation unit 4021, for being the first reference sequences with the training sequence of described sample sequence, calculates the first filter factor;
First filter unit 4022, carries out filtering to sample sequence, to obtain the first soft value for the first filter factor adopting the first coefficient calculation unit 4031 to calculate.
Further, the second balance module 403 comprises:
Decision unit 4031, for selecting the first soft value of predetermined number to carry out hard decision, obtains court verdict;
Second coefficient calculation unit 4032, for the court verdict that exported by decision unit 4031 and training sequence as the second reference sequences, and calculates the second filter factor according to sample sequence and the second reference sequences;
Second filter unit 4033, carries out filtering to sample sequence, to obtain the second soft value for the second filter factor adopting the second coefficient calculation unit 4032 to calculate;
This second coefficient calculation unit 4032 also for using in coded sequence with by the training sequence of the corresponding symbol in the bit position of the first soft value in sample sequence selected and sample sequence as the 3rd reference sequences, and calculate the 3rd filter factor according to sample sequence and the 3rd reference sequences;
This second filter 4033, the 3rd filter factor also for adopting the second coefficient calculation unit 4032 to calculate carries out filtering to sample sequence, to obtain the 3rd soft value.
Namely 3rd soft value obtains the decode results that sample sequence is last after outputting to decoding module 404 decoding.Easily know, also the coded sequence exported according to coding module 405 and training sequence can be obtained the 3rd reference sequences, and with the 3rd reference sequences, three decision feedback equalizations are carried out to the sample sequence that acquisition module 401 obtains, adopt independent balance module to realize to obtain the 3rd this step of soft value.
In the present embodiment, the sample sequence that acquisition module 401 obtains comprises strange sample sequence and even sample sequence.
Correspondingly, first coefficient calculation unit 4021 comprises the first coefficient calculations subelement a and the first coefficient subelement b, first coefficient calculations subelement a is for calculating the first filter factor corresponding to strange sample sequence, and the first coefficient subelement b is for calculating the first filter factor corresponding to even sample sequence.
Correspondingly, first filter unit 4022 comprises the first filtering submodule a and the first filtering submodule b, the first filter factor that first filtering submodule a is used for calculating according to the first coefficient calculations submodule a carries out filtering to strange sample sequence, obtain first soft value corresponding with strange sample sequence, the first filter factor antithesis sample sequence that first filtering submodule b is used for calculating according to the first coefficient calculations submodule b carries out filtering, obtains first soft value corresponding with even sample sequence.
Correspondingly, this first balance module 402 also comprises: first adder 4023, carry out addition to strange sample sequence and a decision feedback equalization result corresponding to even sample sequence to merge, namely carry out addition to the first soft value corresponding to strange sample sequence and soft value corresponding to even sample sequence to merge, obtain the first soft value.
Correspondingly, second coefficient calculation unit 4032 comprises the second coefficient calculations subelement a and the second coefficient calculations subelement b, second coefficient calculations subelement a is for calculating the second filter factor corresponding to strange sample sequence, and the second coefficient calculations subelement b is for calculating the second filter factor corresponding to even sample sequence.
Correspondingly, second filter unit 4033 comprises the second filtering subelement a and the second filtering subelement b, the second filter factor that second filtering subelement a is used for calculating according to the second coefficient calculations subelement a carries out filtering to strange sample sequence, obtain second soft value corresponding with strange sample sequence, the second filter factor antithesis sample sequence that second filtering subelement b is used for calculating according to the second coefficient calculations subelement b carries out filtering, obtains second soft value corresponding with even sample sequence.
Then the second balance module 403 also comprises second adder 4034, carries out additions merging, obtain the second soft value for the strange sample sequence that exports the second filtering subelement a and the second filtering subelement b and soft value corresponding to even sample sequence.
Further, in the present embodiment, the first coefficient calculation unit 4021 and the second coefficient calculation unit 4032 all specifically comprise:
Multiple coefficient calculations subelement, for calculating filter factor corresponding to multiple time delay;
Coefficient merges subelement, for merging the filter factor corresponding with time delay that multiple coefficient calculations subunit computes goes out, thus obtains corresponding filter factor.Here filter factor can be aforementioned first, second or the 3rd filter factor.
The embodiment of the present invention is by obtaining coded sequence corresponding to sample sequence by decode results recompile, and obtain the 3rd reference sequences according to the training sequence of coded sequence and this sample sequence, reference sequences accuracy when the accuracy of the 3rd reference sequences is balanced with second time in prior art increases, so the filter factor adopting the 3rd reference sequences to calculate is more accurate, interference can be eliminated better, improve the receptivity of terminal.In addition, the present embodiment, by arranging strange sample sequence and even sample sequence, can improve gain, improves the interference free performance of the embodiment of the present invention further.
Embodiment 5
Present embodiments provide a kind of terminal, this terminal comprises the signal processing apparatus in embodiment 3 or 4.
The embodiment of the present invention is by obtaining coded sequence corresponding to sample sequence by decode results recompile, and upgrade reference sequences according to coded sequence, the accuracy of the reference sequences when accuracy of this reference sequences is balanced with second time in prior art increases, so the filter factor adopting this reference sequences to calculate is more accurate, interference can be eliminated better, improve the receptivity of terminal.
It should be noted that: the signal processing apparatus that above-described embodiment provides and terminal are when eliminating interference, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, internal structure by device is divided into different functional modules, to complete all or part of function described above.In addition, the signal processing apparatus that above-described embodiment provides, terminal and signal processing method embodiment belong to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only memory, disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (15)
1. a signal processing method, is characterized in that, described method comprises:
Burst sequence in samples receive signal, to obtain sample sequence;
Be the first reference sequences with the training sequence of described sample sequence, and with described first reference sequences, a decision feedback equalization carried out to described sample sequence, to obtain the first soft value;
Obtain the second reference sequences according to described first soft value and described training sequence, and with described second reference sequences, second judgement feedback equalization is carried out to described sample sequence, to obtain the second soft value;
To the first decoding re-encoding of described second soft value, obtain coded sequence;
Obtain the 3rd reference sequences according to described coded sequence and described training sequence, and with described 3rd reference sequences, three decision feedback equalizations are carried out to described sample sequence, to obtain the 3rd soft value;
To described 3rd soft value decoding, to obtain the decode results of described sample sequence.
2. method according to claim 1, is characterized in that, the described sample sequence of acquisition comprises strange sample sequence and even sample sequence;
Then described is the first reference sequences with the training sequence of described sample sequence, and carries out a decision feedback equalization with described first reference sequences to described sample sequence, comprises with the step obtaining the first soft value:
Respectively a decision feedback equalization is carried out to described strange sample sequence and described even sample sequence, and a decision feedback equalization result of described strange sample sequence and described even sample sequence is carried out addition merging, to obtain described first soft value;
Describedly obtain the second reference sequences according to described first soft value and described training sequence, and with described second reference sequences, second judgement feedback equalization carried out to described sample sequence, comprise with the step obtaining the second soft value:
Respectively second judgement feedback equalization is carried out to described strange sample sequence and described even sample sequence, and addition merging is carried out, to obtain described second soft value to the second judgement feedback equalization result of described strange sample sequence and described even sample sequence.
3. method according to claim 1, it is characterized in that, describedly obtain the second reference sequences according to described first soft value and described training sequence, and with described second reference sequences, second judgement feedback equalization carried out to described sample sequence, comprise with the step obtaining the second soft value:
Select described first soft value of predetermined number to carry out hard decision, obtain court verdict;
Using described court verdict and described training sequence as the second reference sequences, and calculate the second filter factor according to described sample sequence and described second reference sequences;
Described second filter factor is adopted to carry out filtering to described sample sequence, to obtain described second soft value.
4. method according to claim 3, is characterized in that, the described step calculating the second filter factor according to described sample sequence and described second reference sequences comprises:
Calculate the filter factor that multiple time delay is corresponding, and merge filter factor corresponding to described multiple time delay, obtain described second filter factor.
5. method according to claim 3, is characterized in that, when selecting described first soft value of predetermined number to carry out hard decision, is comprised by the first soft value selected:
The first soft value that after training bits in the first soft value that the last bit position of training bits in the first soft value that absolute value is large compared with non-selected first soft value, described sample sequence is corresponding and described sample sequence, a bit position is corresponding.
6. method according to claim 5, it is characterized in that, described according to described coded sequence and described training sequence acquisition the 3rd reference sequences, and with described 3rd reference sequences, three decision feedback equalizations are carried out to described sample sequence, comprise with the step obtaining the 3rd soft value:
Using in described coded sequence with by the corresponding symbol in the bit position of the first soft value in described sample sequence selected and described training sequence as the 3rd reference sequences;
The 3rd new filter factor is calculated according to described sample sequence and described 3rd reference sequences; And
Described 3rd filter factor is adopted to carry out filtering to described sample sequence, to obtain described 3rd soft value.
7. method according to claim 6, is characterized in that, the described step calculating the 3rd filter factor according to described sample sequence and described 3rd reference sequences comprises:
Calculate the filter factor that multiple time delay is corresponding, and merge filter factor corresponding to described multiple time delay, obtain described 3rd filter factor.
8. a signal processing apparatus, is characterized in that, described device comprises:
Acquisition module, for the burst sequence in samples receive signal, to obtain sample sequence;
First balance module, for being the first reference sequences with the training sequence of described sample sequence, and carries out a decision feedback equalization with described first reference sequences to the sample sequence that described acquisition module obtains, to obtain the first soft value;
Second balance module, for according to described first balance module export the first soft value and described training sequence obtain the second reference sequences, and with described second reference sequences, second judgement feedback equalization is carried out to the sample sequence that described acquisition module obtains, to obtain the second soft value;
Decoding module, for the second soft value decoding exported described second balance module;
Coding module, obtains coded sequence for carrying out coding to described decoding module to the second soft value after decoding; And
3rd balance module, the 3rd reference sequences is obtained for the coded sequence that exports according to described coding module and described training sequence, and with described 3rd reference sequences, three decision feedback equalizations are carried out to the sample sequence that described acquisition module obtains, to obtain the 3rd soft value;
The three soft value decoding of described decoding module also for exporting the 3rd balance module, to obtain the decode results of described sample sequence.
9. device according to claim 8, is characterized in that, the sample sequence that described acquisition module obtains comprises strange sample sequence and even sample sequence;
Then described first balance module comprises:
First adder, merges for carrying out addition to described strange sample sequence and a decision feedback equalization result corresponding to described even sample sequence, to obtain described first soft value;
Correspondingly, described second balance module comprises:
Second adder, merges for carrying out addition to the second judgement feedback equalization result of described strange sample sequence and described even sample sequence, to obtain described second soft value.
10. device according to claim 8, is characterized in that, described second balance module specifically comprises:
Decision unit, for selecting described first soft value of predetermined number to carry out hard decision, obtains court verdict;
Second coefficient calculation unit, for the court verdict that exported by described decision unit and described training sequence as the second reference sequences, and calculates the second filter factor according to described sample sequence and described second reference sequences;
Second filter unit, carries out filtering to described sample sequence, to obtain the second soft value for the second filter factor adopting described second coefficient calculation unit to calculate.
11. devices according to claim 10, is characterized in that, described second coefficient calculation unit specifically comprises:
Multiple coefficient calculations subelement, for calculating filter factor corresponding to multiple time delay;
Coefficient merges subelement, for merging the filter factor corresponding with time delay that described multiple coefficient calculations subunit computes goes out, obtains described second filter factor.
12. devices according to claim 10, it is characterized in that, the first soft value that described decision unit is selected comprises: the first soft value that after the training bits in the first soft value that the last bit position of training bits in the first soft value that absolute value is large compared with non-selected first soft value, described sample sequence is corresponding and described sample sequence, a bit position is corresponding.
13. devices according to claim 12, is characterized in that, described 3rd balance module specifically comprises:
3rd coefficient calculation unit, for using in described coded sequence with by the corresponding symbol in the bit position of the first soft value in described sample sequence selected and described training sequence as the 3rd reference sequences; And calculate the 3rd filter factor according to described sample sequence and described 3rd reference sequences;
3rd filter unit, carries out filtering to described sample sequence, to obtain described 3rd soft value for the 3rd filter factor adopting described 3rd coefficient calculation unit to calculate.
14. devices according to claim 13, is characterized in that, described 3rd coefficient calculation unit, specifically comprises:
Multiple coefficient calculations subelement, for calculating filter factor corresponding to multiple time delay;
Coefficient merges subelement, for merging the filter factor corresponding with time delay that described multiple coefficient calculations subunit computes goes out, obtains described 3rd filter factor.
15. 1 kinds of terminals, is characterized in that, described terminal comprises the signal processing apparatus as described in any one of claim 8-14.
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| 《一种适于载波同步的DFE改进算法》;姚引娣;《西安邮电学院学报》;20110531;第16卷(第3期);第2章，第3.2节，第3.3节 * |
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