CN105007240B - The distorted signals method for reconstructing and device of a kind of pilot tone multiplexing technology - Google Patents
The distorted signals method for reconstructing and device of a kind of pilot tone multiplexing technology Download PDFInfo
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- CN105007240B CN105007240B CN201510287894.1A CN201510287894A CN105007240B CN 105007240 B CN105007240 B CN 105007240B CN 201510287894 A CN201510287894 A CN 201510287894A CN 105007240 B CN105007240 B CN 105007240B
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Abstract
The invention discloses a kind of distorted signals method for reconstructing of pilot tone multiplexing technology, including：S1, input the original position of pilot tone, channel response corresponding to frequency-region signal, block of frequency domain data after equilibrium, S2, inversefouriertransform and hard decision are carried out to block of frequency domain data after equilibrium, obtain the Preliminary detection result of block of frequency domain data, and it is stored in data block memory cell, S3, the Preliminary detection result that there is currently data block memory cell is subjected to Fourier transformation, S4, the optimal estimation result of p-th of data is obtained by maximum- likelihood estimation, S5, by p-th of data in the optimal estimation result s ' replacement data block memory cell of p-th of the data obtained by maximum- likelihood estimation, S6, repeat step S3~S5, until block of frequency domain data Data Convergence after balanced.Present method invention is based on maximum-likelihood criterion, directly obtains optimal signal estimation from the statistical significance, effectively reduces the bit error rate, suppresses error code diffusion, greatly reduce algorithm complex.
Description
Technical field
The present invention relates to digital wireless communication field, the distorted signals of more particularly to a kind of pilot tone multiplexing technology is rebuild
Method.
Background technology
In a wireless communication system, the basic task of receiving terminal is to recover the data that transmitting terminal is sent as much as possible, i.e., most
Possibly reduce the bit error rate of system.In practical communication system, the quality for evaluating receiver is mainly calculated according to receiver
The error performance of method, real-time treatment effeciency and algorithm complex, and it is foundation that the reliability of weighing communications system transmission is main
The bit error rate of receiving terminal.Data, which can be then improved, with the single-carrier frequency domain equalization system of pilot tone multiplexing technology sends effect
Rate, but the raising of data transmission efficiency is using the partial distortion of data as cost.Therefore, receiving terminal needs to compensate well for this
Partial distortion, distorted signals reconstruction is carried out to the data block of distortion, to obtain alap system bit error rate.
Current existing distorted signals algorithm for reconstructing is that the data of partial distortion are estimated using the data of Preliminary detection
Meter compensation, is then detected to the data block after compensation again.However, the problem of this mode easily causes error code to spread, special
It is not in the case of estimation compensation inaccuracy.Because the compensated information that the inaccuracy of the data of Preliminary detection feedbacks also can
There is certain distortion, it is likely that more distortions are introduced to the data received originally, and then have aggravated detection data output knot
The inaccuracy of fruit.Meanwhile the undercompensation of channel distortion also can produce deleterious effect to signal reconstruction below, it is likely that
The problem of heavy system error code spreads.
The content of the invention
The shortcomings that first of the present invention aims to overcome that prior art and deficiency, there is provided a kind of pilot tone is multiplexed skill
The distorted signals method for reconstructing of art.
It is another object of the present invention to the shortcomings that overcoming prior art and insufficient, there is provided a kind of pilot tone is multiplexed skill
The distorted signals reconstructing device of art.
First purpose of the present invention is achieved through the following technical solutions：
A kind of distorted signals method for reconstructing of pilot tone multiplexing technology, comprises the following steps：
S1, input initial data, the initial data include:The original position b of pilot tone0, channel corresponding to frequency-region signal
ResponseBlock of frequency domain data after equilibriumWherein block of frequency domain data includes symbol numbers N, between adjacent pilot frequencies between
Every M, glossary of symbols χ, p=0 is initialized；
S2, to it is described it is balanced after block of frequency domain dataInversefouriertransform is carried out to obtainIt is right againEnter
Row hard decision, obtain the Preliminary detection result of block of frequency domain dataAnd it is stored in data block memory cell；
S3, the Preliminary detection result that data block memory cell will be there is currentlyFourier transformation is carried out, obtains frequency
The estimated data block in domain
S4, the optimal estimation result s ' of p-th of data is obtained by maximum- likelihood estimation, realized as follows：
Wherein, subscript p represents the position currently updated the data；
S5, the optimal estimation result s ' replacement datas block storage by p-th of the data obtained by maximum- likelihood estimation
P-th of data in unit, realize as follows：And make p=p+1；
Whether S6, detection p≤N set up, if so, then repeat step S3~step S5, if not, until the equilibrium
Frequency domain data block iteration renewal afterwards is completed, and exports final result
Further, block of frequency domain data is after the equilibrium
The implication of wherein each symbol is as follows：
For the transmission signal on frequency domain, snIt is that data are sent in time domain, is derived from glossary of symbols χ,
The symbol numbers that N includes for block of frequency domain data after each equilibrium, n is subscript, represents the position of time-domain signal, and k is subscript,
Represent the position of frequency-region signal, VkFor white Gaussian noise, H corresponding to k-th of frequency-region signalkFor letter corresponding to k-th of frequency-region signal
Road responds, b0For the original position of pilot tone, intervals of the M between adjacent pilot frequencies.
Further, the data block memory cell is by the Preliminary detection result of the block of frequency domain dataWith by most
Maximum-likelihood algorithm for estimating is to block of frequency domain data after the equilibriumOptimal estimation result store simultaneously, when all numbers
Terminate according to iteration renewal, by the data output of storage, the signal reconstruction result as receiving terminal.
Further, the data in the step S5 in data block memory cell replace with data symbol renewal one by one.
Another object of the present invention is achieved through the following technical solutions：
A kind of distorted signals reconstructing device of pilot tone multiplexing technology, including following modules：
Initial data input module, the module are used to input initial data, and the initial data includes:The start bit of pilot tone
Put b0, channel response corresponding to frequency-region signalBlock of frequency domain data after equilibriumWherein block of frequency domain data includes symbol
Number number N, interval M, glossary of symbols χ between adjacent pilot frequencies, initializes p=0；
Preliminary detection module, the module are used for block of frequency domain data after the equilibriumInversefouriertransform is carried out to obtain
ArriveIt is right againHard decision is carried out, obtains the Preliminary detection result of block of frequency domain dataAnd it is stored in data block
Memory cell；
Fourier transformation module, the module are used to that the Preliminary detection result of data block memory cell will to be there is currently
Fourier transformation is carried out, obtains the estimated data block of frequency domain
Maximal possibility estimation module, the module are estimated for obtaining p-th of the optimal of data with maximum- likelihood estimation
Result s ' is counted, is realized as follows：
Wherein, subscript p represents the position currently updated the data；
Update module, the module are used for the optimal estimation result for p-th of the data that will be obtained by maximum- likelihood estimation
P-th of data in s ' replacement data block memory cell, realize as follows：And make p=p+1；
Loop detection module, the module are used to detect whether p≤N sets up, if so, then call the Fourier to become successively
Block, maximal possibility estimation module and update module are changed the mold, if not, then frequency domain data block iteration has updated after the equilibrium
Into output final result
Further, the data in the update module in data block memory cell replace with data symbol renewal one by one.
The present invention is had the following advantages relative to prior art and effect：
1) criterion of the present method invention based on maximum likelihood can realize the information for maximally utilising receiving terminal, obtain pole
Low bit error rate result, hence it is evident that improve the poor error performance of existing distorted signals method for reconstructing.
2) criterion of the present method invention based on maximum likelihood, optimal signal estimation, suppression are directly obtained from the statistical significance
Error code diffusion has been made, the signal of receiving terminal is recovered more accurately and reliably.
3) present method invention uses the mode of iteration, and single symbol is updated, considerably reduces the complexity of calculating
Degree.
Brief description of the drawings
Fig. 1 is the flow chart of the distorted signals method for reconstructing of the frequency domain pilot frequency multiplexing technology of embodiment one；
Fig. 2 be several distorted signals method for reconstructing in embodiment one under Gaussian channel with the present invention based on maximum likelihood
The performance comparision analogous diagram of criterion distorted signals method for reconstructing；
Fig. 3 be several distorted signals method for reconstructing in embodiment one under frequency-selective channel with the present invention based on maximum likelihood
The performance comparision analogous diagram of criterion distorted signals method for reconstructing；
Fig. 4 is the composition frame chart of the distorted signals reconstructing device of the frequency domain pilot frequency multiplexing technology of embodiment two.
Embodiment
To make the objects, technical solutions and advantages of the present invention clearer, clear and definite, develop simultaneously embodiment pair referring to the drawings
The present invention is further described.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and do not have to
It is of the invention in limiting.
Embodiment one
Fig. 1 is referred to, Fig. 1 is a kind of stream of the distorted signals method for reconstructing of pilot tone multiplexing technology in the present embodiment one
Cheng Tu.As shown in figure 1, the method that the data-signal distortion that this method is a kind of communication receiver is rebuild, equal in single-carrier frequency-domain
Implement under balance system, be mainly used in the up-link of radio communication, realize that receiving terminal is rebuild to distorted signal.
With reference to Fig. 1, the distorted signals method for reconstructing of pilot tone multiplexing technology disclosed in the embodiment is illustrated
Process step.
Step S1：Input initial data.Specifically include：
Input the original position b of pilot tone0, channel response corresponding to frequency-region signalBlock of frequency domain data after equilibriumWherein data block includes symbol numbers N, interval M, glossary of symbols χ between adjacent pilot frequencies, initializes p=0；
Step S2：Preliminary detection is carried out to block of frequency domain data after equilibrium, and is stored in data block memory cell.It is specific as follows：
To block of frequency domain data after the equilibriumCarry out inversefouriertransformIt is right againSentenced firmly
Certainly, the Preliminary detection result of block of frequency domain data is obtainedAnd it is stored in data block memory cell.
Here block of frequency domain data is after equilibrium
The implication of wherein each symbol is as follows：
For the transmission signal on frequency domain, and snIt is that data are sent in time domain, is derived from glossary of symbols
χ；
N：The symbol numbers that each data block includes；
n：Subscript, the position of time-domain signal；
k：Subscript, the position of frequency-region signal；
Vk：White Gaussian noise corresponding to k-th of frequency-region signal；
Hk：Channel response corresponding to k-th of frequency-region signal；
b0：The original position of pilot tone；
M：Interval between adjacent pilot frequencies；
Step S3, the Preliminary detection result of data block memory cell will be there is currentlyFourier transformation is carried out, is obtained
To the estimated data block of frequency domain
Step S4, the optimal estimation result s ' of p-th of data is obtained by maximal possibility estimation；
Maximal possibility estimation obtains the optimal estimation result of single time domain data, realizes as follows：
Wherein, subscript p represents the position currently updated the data.
Step S5, data update, by the optimal estimation result s ' replacement numbers of p-th of the data obtained by maximal possibility estimation
According to p-th of data in block memory cell, and make p=p+1；
Realize as follows：
Data block memory cell simultaneously gets up the Preliminary detection result of block of frequency domain data and renewal result interim storage, when
After all data renewals terminate, just the data block of storage is exported, the signal reconstruction result as receiving terminal.
Step S6, p≤N is detected whether, if p≤N, repeat step S3~step S5, until whole data block iteration is more
It is new to complete, i.e. p=N, and export final result
In summary, the distorted signals method for reconstructing based on maximum-likelihood criterion, by step S3 Fourier transformations and step
Circulation work completes equilibrium to S4 Maximum Likelihood Detections in order.
It is (1) by block of frequency domain data after equilibrium, according to maximum-likelihood criterion, can obtains
WhereinS=[s0,...,sN-1]T, Z=[Z0,...,ZN-1]T, probability function f (Z | s) can be with
It is expressed as：
Wherein S=[S0,...,SN-1]TIt is s Fourier transformation,Γ represents a vector,
Its k-th of element representation is
Formula (5) can be equivalent to
But the complexity of direct solution formula (7) is very high, whole searching process needs to travel through | χ |NKind situation.For
Complexity is reduced as much as possible, and the present invention simplifies the solution of formula (7) using the method for iteration renewal.The present invention uses just
The data block of step detection carries out symbol one by one and updated, and greatly reduces complexity.
The algorithm is named as the distorted signals algorithm for reconstructing based on maximum-likelihood criterion, and embodiment is as shown in Figure 1.
The present invention is the distorted signals algorithm for reconstructing based on maximum-likelihood criterion, and mistake is significantly better than in terms of bit error rate performance
The signal reconstruction algorithm really compensated；In the above-described embodiments, symbol renewal one by one is introduced under based on maximum-likelihood criterion
Mechanism.Different from the signal reconstruction algorithm of distortion compensation, the present invention avoids the problem of error code spreads well.
The emulation platform of single carrier frequency domain equalization communication system is built by matlab, have selected 16-QAM modulation methods
Formula, the symbol numbers N=512 that each data block includes, pilot tone number Np=16；In order to eliminate the interference between symbolic blocks, each
Symbolic blocks with the addition of the cyclic prefix that length is 12.Emulation has used Chu sequences as pilot signal, and uses trigonometric interpolation
Mode domain channel response is estimated.As a comparison, emulation selects (the signal mistake of hard decision mode of two kinds of other methods
The signal reconstruction method of true weight construction method and distortion compensation) rebuild and calculate with the distorted signals based on maximum-likelihood criterion of the invention
Method is compared.
Fig. 2 is several distorted signals method for reconstructing and the maximum-likelihood criterion distorted signals of the present invention under Gaussian channel
The performance comparision analogous diagram of method for reconstructing.It can be seen that maximum-likelihood criterion distorted signals method for reconstructing of the invention is at three kinds
It is that performance is optimal in method.For the distorted signals method for reconstructing of hard decision mode, due to pilot tone multiplexing technology in itself
Signal-to-distortion ratio is more serious, and then deviation is very big for the reconstruction signal that directly progress hard decision obtains.For the signal weight of distortion compensation
Construction method, this method compensates to frequency domain distortion part can obtain preferable performance, but less accurately compensation also can
Reconstruction signal is caused to produce certain deviation.And the maximum-likelihood criterion distorted signals method for reconstructing of the present invention is united from probability
Signal reconstruction is directly carried out in the angle of meter, recovers optimal matched signal.It can therefore be seen that the maximum likelihood of the present invention
Criterion distorted signals method for reconstructing can obtain splendid performance, be optimal under Gaussian channel.
Fig. 3 be several distorted signals method for reconstructing under frequency-selective channel with the present invention based on maximum-likelihood criterion signal
The performance comparision analogous diagram of distortion method for reconstructing.The frequency-selective channel shares 10 multipaths, and the channel response obedience of every multipath is auspicious
Profit distribution and its mean power therewith the time present exponential damping trend.Receiving terminal is entered using zero forcing equalizer to reception signal
Row is balanced.It will again be seen that the present invention maximum-likelihood criterion distorted signals method for reconstructing be in three kinds of methods performance most
Good.Compared to the signal reconstruction method of the preferable distortion compensation of performance, maximum-likelihood criterion distorted signals of the invention is rebuild
Method can still obtain nearly 1.5dB snr gain.
Embodiment two
Fig. 4 is referred to, Fig. 4 is the composition frame of the distorted signals reconstructing device of the frequency domain pilot frequency multiplexing technology of the present embodiment two
Figure.As illustrated, present embodiment discloses a kind of distorted signals reconstructing device of pilot tone multiplexing technology, single carrier is used in
Under frequency domain equalization system, it is mainly used in the up-link of radio communication, realizes the work(that receiving terminal is rebuild to distorted signal
Energy.
Specifically include following modules：
1st, initial data input module
The module is used to input initial data, and the initial data includes:The original position b of pilot tone0, frequency-region signal it is corresponding
Channel responseBlock of frequency domain data after equilibriumWherein block of frequency domain data includes symbol numbers N, adjacent pilot frequencies
Between interval M, glossary of symbols χ, initialize p=0；Then, block of frequency domain data is after equilibrium
The implication of wherein each symbol is as follows：
For the transmission signal on frequency domain, snIt is that data are sent in time domain, is derived from glossary of symbols χ, N
The symbol numbers included for block of frequency domain data after each equilibrium, n is subscript, represents the position of time-domain signal, and k is subscript,
Represent the position of frequency-region signal, VkFor white Gaussian noise, H corresponding to k-th of frequency-region signalkFor letter corresponding to k-th of frequency-region signal
Road responds, b0For the original position of pilot tone, intervals of the M between adjacent pilot frequencies.
2nd, preliminary detection module
The module is used for block of frequency domain data after the equilibriumInversefouriertransform is carried out to obtainIt is right againHard decision is carried out, obtains the Preliminary detection result of block of frequency domain dataAnd it is stored in data block memory cell.
3rd, fourier transformation module
The module is used to that the Preliminary detection result of data block memory cell will to be there is currentlyCarry out Fourier transformation,
Obtain the estimated data block of frequency domain
4th, maximal possibility estimation module
The module is used to obtain the optimal estimation result s ' of p-th of data with maximum- likelihood estimation, realizes as follows：
Wherein, subscript p represents the position currently updated the data.
5th, update module
The module is used for the optimal estimation result s ' replacement datas for p-th of the data that will be obtained by maximum- likelihood estimation
P-th of data in block memory cell, realize as follows：And make p=p+1；
Wherein, the optimal estimation result s ' replacement datas block storage of p-th of the data obtained by maximum- likelihood estimation
P-th of data in unit, whole data block renewal replacement process update for data symbol iteration one by one.
6th, loop detection module
The module is used to detect whether p≤N sets up, if so, the fourier transformation module, maximum are then called successively seemingly
Right estimation module and update module, if not, then the renewal of frequency domain data block iteration is completed after the equilibrium, exports final result
Wherein, data block memory cell is by the Preliminary detection result of the block of frequency domain dataEstimate with by maximum likelihood
Calculating method is to block of frequency domain data after the equilibriumOptimal estimation result store simultaneously, when all data iteration more
Newly terminate, by the data output of storage, the signal reconstruction result as receiving terminal.
It is worth noting that, in said apparatus embodiment, included modules or unit are simply according to function logic
Divided, but be not limited to above-mentioned division, as long as corresponding function can be realized；In addition, each device and list
The specific name of member is also only to facilitate mutually distinguish, the protection domain being not intended to limit the invention.
Above-described embodiment is the preferable embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any Spirit Essences without departing from the present invention with made under principle change, modification, replacement, combine, simplification,
It should be equivalent.
Claims (6)
1. a kind of distorted signals method for reconstructing of pilot tone multiplexing technology, it is characterised in that comprise the following steps：
S1, input initial data, the initial data include:The original position b of pilot tone0, channel response corresponding to frequency-region signal, it is balanced after block of frequency domain data, wherein block of frequency domain data includes symbol numbers N, the interval M between adjacent pilot frequencies,
Glossary of symbols χ, initialize p=0；
S2, to it is described it is balanced after block of frequency domain dataInversefouriertransform is carried out to obtain, then it is rightCarry out hard
Judgement, obtains the Preliminary detection result of block of frequency domain data, and it is stored in data block memory cell；
S3, the Preliminary detection result that data block memory cell will be there is currentlyFourier transformation is carried out, obtains frequency domain
Estimated data block：
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In p-th of data, realize it is as follows：, and make p=p+1；
Whether S6, detection p≤N set up, if so, then repeat step S3~step S5, if not, until frequency after the equilibrium
The renewal of numeric field data block iteration is completed, and exports final result。
2. the distorted signals method for reconstructing of pilot tone multiplexing technology according to claim 1, it is characterised in that described equal
Block of frequency domain data is after weighing apparatus
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The implication of wherein each symbol is as follows：
For the transmission signal on frequency domain, snIt is that data are sent in time domain, it is every to be derived from glossary of symbols χ, N
The symbol numbers that block of frequency domain data includes after the individual equilibrium, n is subscript, represents the position of time-domain signal, and k is subscript, is represented
The position of frequency-region signal, VkFor white Gaussian noise, H corresponding to k-th of frequency-region signalkRung for channel corresponding to k-th of frequency-region signal
Should, b0For the original position of pilot tone, intervals of the M between adjacent pilot frequencies.
3. the distorted signals method for reconstructing of pilot tone multiplexing technology according to claim 1, it is characterised in that the number
According to block memory cell by the Preliminary detection result of the block of frequency domain dataWith by maximum- likelihood estimation to it is described
Block of frequency domain data after weighing apparatusOptimal estimation result store simultaneously, when all data iteration renewal terminate, will store
Data output, the signal reconstruction result as receiving terminal.
4. the distorted signals method for reconstructing of pilot tone multiplexing technology according to any one of claims 1 to 3, its feature exist
In,
Data in the step S5 in data block memory cell replace with data symbol renewal one by one.
5. a kind of distorted signals reconstructing device of pilot tone multiplexing technology, it is characterised in that including following modules：
Initial data input module, the module are used to input initial data, and the initial data includes:The original position b of pilot tone0、
Channel response corresponding to frequency-region signal, it is balanced after block of frequency domain data, wherein block of frequency domain data includes symbol
Number N, interval M, glossary of symbols χ between adjacent pilot frequencies, initialize p=0；
Preliminary detection module, the module are used for block of frequency domain data after the equilibriumInversefouriertransform is carried out to obtain, then it is rightHard decision is carried out, obtains the Preliminary detection result of block of frequency domain data, and be stored in data block and deposit
Storage unit；
Fourier transformation module, the module are used to that the Preliminary detection result of data block memory cell will to be there is currentlyCarry out
Fourier transformation, obtain the estimated data block of frequency domain：
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<mo>^</mo>
</mover>
<mi>n</mi>
<mrow>
<mo>(</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
</msubsup>
<msup>
<mi>e</mi>
<mrow>
<mo>-</mo>
<mi>j</mi>
<mfrac>
<mrow>
<mn>2</mn>
<mi>&pi;</mi>
<mi>n</mi>
<mi>k</mi>
</mrow>
<mi>N</mi>
</mfrac>
</mrow>
</msup>
<mo>,</mo>
<mi>k</mi>
<mo>=</mo>
<mn>0</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>N</mi>
<mo>-</mo>
<mn>1.</mn>
<mo>;</mo>
</mrow>
Maximal possibility estimation module, the module are used to obtain the optimal estimation knot of p-th of data with maximum- likelihood estimation
Fruit s ', realize as follows：
<mrow>
<msup>
<mi>s</mi>
<mo>&prime;</mo>
</msup>
<mo>=</mo>
<mi>arg</mi>
<munder>
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
</mrow>
<mrow>
<mi>s</mi>
<mo>&Element;</mo>
<mi>&chi;</mi>
</mrow>
</munder>
<munder>
<mo>&Sigma;</mo>
<mrow>
<mi>k</mi>
<mrow>
<mo>(</mo>
<mi>mod</mi>
<mi> </mi>
<mi>M</mi>
<mo>)</mo>
</mrow>
<mo>&NotEqual;</mo>
<msub>
<mi>b</mi>
<mn>0</mn>
</msub>
</mrow>
</munder>
<mo>|</mo>
<msub>
<mi>H</mi>
<mi>k</mi>
</msub>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
<mo>&CenterDot;</mo>
<mo>|</mo>
<msub>
<mi>Z</mi>
<mi>k</mi>
</msub>
<mo>-</mo>
<msub>
<mover>
<mi>S</mi>
<mo>^</mo>
</mover>
<mi>k</mi>
</msub>
<mo>-</mo>
<mfrac>
<mn>1</mn>
<msqrt>
<mi>N</mi>
</msqrt>
</mfrac>
<mrow>
<mo>(</mo>
<mi>s</mi>
<mo>-</mo>
<msubsup>
<mover>
<mi>s</mi>
<mo>^</mo>
</mover>
<mi>p</mi>
<mrow>
<mo>(</mo>
<mn>0</mn>
<mo>)</mo>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<msup>
<mi>e</mi>
<mrow>
<mi>j</mi>
<mfrac>
<mrow>
<mn>2</mn>
<mi>&pi;</mi>
<mi>p</mi>
<mi>k</mi>
</mrow>
<mi>N</mi>
</mfrac>
</mrow>
</msup>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
</mrow>
Wherein, subscript p represents the position currently updated the data；
Update module, the module are used to replace the optimal estimation result s ' of p-th of the data obtained by maximum- likelihood estimation
P-th of the data changed in data block memory cell, realize as follows：, and make p=p+1；
Loop detection module, the module are used to detect whether p≤N sets up, if so, the Fourier transformation mould is then called successively
Block, maximal possibility estimation module and update module, if not, then the renewal of frequency domain data block iteration is completed after the equilibrium, defeated
Go out final result。
6. the distorted signals reconstructing device of pilot tone multiplexing technology according to claim 5, it is characterised in that
Data in the update module in data block memory cell replace with data symbol renewal one by one.
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| WO2012068865A1 (en) * | 2010-11-23 | 2012-05-31 | 中兴通讯股份有限公司 | Channel estimation method and system in broadband co-frequency interference environment |
| CN102611648A (en) * | 2011-01-20 | 2012-07-25 | 中兴通讯股份有限公司 | Successive interference cancellation system and method |
| CN102638433A (en) * | 2011-02-15 | 2012-08-15 | 中兴通讯股份有限公司 | Signal processing method, device and system |
| CN103780521A (en) * | 2014-02-28 | 2014-05-07 | 重庆邮电大学 | Sparsity self-adaptive OFDM system channel estimation method |
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| WO2012068865A1 (en) * | 2010-11-23 | 2012-05-31 | 中兴通讯股份有限公司 | Channel estimation method and system in broadband co-frequency interference environment |
| CN102611648A (en) * | 2011-01-20 | 2012-07-25 | 中兴通讯股份有限公司 | Successive interference cancellation system and method |
| CN102638433A (en) * | 2011-02-15 | 2012-08-15 | 中兴通讯股份有限公司 | Signal processing method, device and system |
| CN103780521A (en) * | 2014-02-28 | 2014-05-07 | 重庆邮电大学 | Sparsity self-adaptive OFDM system channel estimation method |
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