CN104135455B - Iterative receiving method for communication system - Google Patents
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- CN104135455B CN104135455B CN201410377019.8A CN201410377019A CN104135455B CN 104135455 B CN104135455 B CN 104135455B CN 201410377019 A CN201410377019 A CN 201410377019A CN 104135455 B CN104135455 B CN 104135455B
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Abstract
The present invention provides an iterative receiving method for communication system, which combines a Qc-LDPC decoder with a frequency domain determination feedback equalizer, which is based on the minimum mean square error MMSE, with a Turbo iteration principle and builds a joint iterative equalization and decoding algorithm. The equalizer modifies the coefficients of a filter with the soft information provided by the decoder in an iteration manner, eliminates the multipath effect of channel transmission with a low computing complexity, further reduces the bit error rate of data transmission of the communication system and realizes reliable data transmission of the communication system. The present invention is able to have the performance similar with an orthogonal frequency-division multiplexing OFDM system without the problem of high peak-to-average power ratio of OFDM system and suitable for channel condition with serious multipath propagation, and eliminates intersymbol interference introduced by multipath propagation of channel and achieves data transmission with low bit error rate.
Description
Technical field
The invention belongs to wireless communication field, is related to one kind based on quasi-circulating low-density parity check Qc-LDPC codes and frequency
The communication system iteration receiving method of domain DFF.
Background technology
In a wireless communication system, data in traffic channel, understand between created symbol by the multipath effect of dissemination channel
Interference ISI, so as to reduce the reliability of data transfer.It is right using the multi-carrier communications systems of orthogonal frequency division multiplex OFDM technology
Anti- channel multi-path is propagated, and realizes the effective technology means of high speed data transfer.But using the multi-carrier communications systems of OFDM technology
Defect with the flat power ratio in peak.
It is that a kind of replacement well selects using the carrier wave communication system of frequency-domain equalization technology, and single carrier wave time domain is balanced
Compare, frequency domain equalization computation complexity is significantly reduced, while avoiding orthogonal frequency division multiplex OFDM system has the flat power in peak
The defect of ratio.At present, adopted by numerous communication standards and communication system architecture in the world, for example：Wireless LTE standard, water
Lower high speed sound communication system etc..The multichannel DFF of joint space diversity technique, be it is a kind of by spatial processing and
Time Domain Processing combines to eliminate the effective technology means that channel multi-path propagates the ISI for producing, but its time domain is realized with higher
Computational complexity, frequency domain realize can substantially reduce time domain realization computational complexity.
Due to being continuously increased for objective demand, the reliability requirement more and more higher to data transfer, therefore, using single
Channel equalization technique eliminates the ISI that multipath transmisstion is produced, and cannot meet the performance requirement of the communication system of high speed development.Letter
Road coding is the effective technology means of the burst that effective correction signal occurs when channel and random error, and with this number is reduced
According to the bit error rate of transmission, the reliability of system data transmission is improved.Channel coding technology and balancing technique are combined, connection is built
Iteration equalizing and decoding algorithm are closed, the symbol error that data are produced in multi-path channel transmission is eliminated, research has been increasingly becoming
Focus.
Liu in 2010 waits along blue《SC-FDE systems based on Turbo channel codings》Pass for single carrier data in one text
Defeated system, it is proposed that carry out the technology of data receiver using Turbo code decoder and frequency domain equalizer, its method is：To receive
Data transform to frequency domain and carry out equilibrium treatment, then convert back to the time domain and carry out data demodulation, decoding and recover original transmitted information bit,
Its weak point is：(1) frequency domain equalizer uses linear equalization, without feedback fraction；(2) decoder and balanced device do not have
Carry out Joint iteration computing.Therefore, the method is under the serious channel condition of multipath transmisstion, and error correcting capability is not enough.
The content of the invention
In order to overcome the deficiencies in the prior art, the present invention to provide a kind of communication system iteration receiving method.The inventive method
Using single carrier frequency domain equalization process, with Turbo iteration theorems, by Qc-LDPC decoders and proposed by the present invention based on most
The frequency domain decisive feedback equalization device of littleization mean square error MMSE criterion combines, and builds Joint iteration equilibrium and decoding algorithm, with
Relatively low computation complexity eliminates channel multi-path and propagates the ISI for introducing, and further reduces the bit error rate of communication system data transmission,
Realize communication system high speed, reliable data transfer.
The technical solution adopted for the present invention to solve the technical problems comprises the steps：
Step one：Transmitting terminal is first to binary information sequence { dnQc-LDPC codings are carried out, then to the letter after coding
Breath sequence { cnCarry out QPSK symbol mappings；Add Zadoff-Chu sequence as Frame in data symbol front end in the mapped
Frame head, forms a complete frame data；Connected with full zero data between per frame data, form continuous transmitting data { xn}；
Step 2：In receiving terminal, by NrThe transmitting data of the antenna array receiving step one of individual reception antenna composition, to every
The signal that individual reception antenna is received is done as follows：Before processing each frame data, the full zero data between every frame data is first removed,
Then Frame frame head and data symbol are carried out respectively discrete Fourier transform DFT, frequency domain frame head is obtainedAnd frequency
Numeric field data symbolNr≥2；
Step 3：Take any one reception antenna frequency domain frame head that step 2 is obtainedCarry out channel
Estimate, obtain channel estimation valueKtFrame head length is represented, k represents k-th symbol；
Step 4：Step 2 is obtainedTo filtering operation before carrying out, obtainIts
In, AkFor forward-direction filter coefficient, filter result is designated asWillObtain with step 6Make the difference；
When step 4 is carried out first,
Step 5：Step 4 is obtainedInverse discrete Fourier transformer inverse-discrete IDFT is carried out, time domain output data is obtainedWillSend into Qc-LDPC decoders, the likelihood ratio { L (d of decoder exports coding bitk)}；If reaching
The iterations of regulation, to likelihood ratio { L (dk) 0,1 bit decision is carried out, recover original transmitted information bitOtherwise, enter
Enter step 6, be iterated data processing；
Likelihood ratio { L (the d of coded-bitk) method that carries out 0,1 bit decision：If L is (dk) ＞ 0, sentence information bitConversely, sentencing information bit
Step 6：{ L (the d that step 5 is obtainedk) estimation of frequency domain transmission symbol is carried out, obtain frequency domain symbol estimateWillThe channel estimation obtained with step 3Feedback filtering is carried out, i.e.,BkFor inverse filter coefficient, filtering
As a result it is designated asFilter coefficient A is updated simultaneouslykAnd Bk；By the filter coefficient A after renewalkAnd BkSend into step 4
It is iterated computing；
The method of estimation of described frequency domain transmission symbol isWherein,Represent and send out
Penetrate symbol；
Filter coefficient AkAnd BkUpdate method：
Filter coefficient AkInitial value be set to complete 1, wherein,It is noise variance,It is the oblique variance of frequency domain transmission data symbol,It is the correlation function of time domain transmitting symbol and estimate symbol.
The invention has the beneficial effects as follows：
(1) a kind of communication system iteration receiving method proposed by the present invention is applied to carrier wave communication system, using frequency domain
Data processing method, is obtained in that the performance close with ofdm system, and without the high problem of ofdm system peak-to-average ratio.
(2) a kind of communication system iteration receiving method proposed by the present invention, Qc-LDPC decoders and the frequency domain for proposing are sentenced
Certainly feedback equalizer combines, and builds Joint iteration data processing, and balanced device passes through iteration using the Soft Inform ation that decoder is provided
Mode update the coefficient of wave filter, correct filter result, eliminate because channel multi-path propagates the intersymbol interference for introducing, obtain low
The data transfer of the bit error rate.
(3) a kind of communication system iteration receiving method proposed by the present invention, it is adaptable to the serious channel condition of multipath transmisstion.
Description of the drawings
Fig. 1 is the present invention relates to communication system transmitting data framing structure schematic diagram；
Fig. 2 a are the emitting structurals the present invention relates to communication system；
Fig. 2 b are the iterative receiver structures based on Qc-LDPC codes and frequency domain decisive feedback equalization device；
Fig. 3 is using Joint iteration method of reseptance of the present invention and the bit error rate curve comparison figure without iteration；
Fig. 4 is the inventive method balanced device and when decoder Joint iteration takes different iterationses, ber curve contrast
Figure；
Fig. 5 is the inventive method balanced device and decoder Joint iteration 2 times, when being received using 2 antennas and 3 antennas, error code
Rate curve comparison figure.
Specific embodiment
With reference to the accompanying drawings and examples the present invention is further described, and the present invention includes but are not limited to following enforcements
Example.
The present invention is comprised the following steps：
Step one：Transmitting terminal is first to binary information sequence { dnQc-LDPC codings are carried out, then to the letter after coding
Breath sequence { cnCarry out QPSK symbol mappings.Add Zadoff-Chu sequence as Frame frame in symbol front end in the mapped
Head, forms a complete frame data；Connected with full zero data between per frame data, form continuous transmitting data { xn}；
Launch data framing mode in step one as shown in figure 1, the emitter junction of communication system involved by our bright method
Structure is as shown in Figure 2 a；
Step 2：In receiving terminal, by Nr(NrThe transmitting letter of >=2) the antenna array receiving step one of individual reception antenna composition
Number, the signal that each reception antenna is received is done as follows：Before processing each frame data, the zero padding of Frame tail end is first removed
Data, then Frame frame head and data symbol are carried out respectively discrete Fourier transform DFT, obtain frequency domain frame headWith frequency domain data symbol
Step 3：Take arbitrary reception antenna frequency domain frame head data that step 2 is obtainedCarry out
Channel estimation, obtains channel estimation valueIt is standby；
Step 4：Step 2 is obtainedTo filtering operation before carrying out, i.e.,Wherein, AkFor it is front to
Filter coefficient, filter result is designated asWillObtain with step 6Make the difference；
When step 4 is carried out first, step 6 does not have input data to utilize, therefore, step 6 is output as zero, i.e.,
Step 5：Step 4 is obtainedInverse discrete Fourier transformer inverse-discrete IDFT is carried out, time domain output data is obtainedWillQc-LDPC decoders are sent into, soft decoding process, the likelihood ratio of decoder exports coding bit is carried out
{L(dk)}；If reaching the iterations of regulation, to likelihood ratio { L (dk) 0,1 bit decision is carried out, recover original transmitted information ratio
It is specialOtherwise, continue step 6, be iterated data processing；
Ldpc decoder is adopted and product BP soft decoding algorithms, BP algorithm referring to [Xiao Yang .Turbo and LDPC encoding and decoding and its
Using [M]. People's Telecon Publishing House, 2010：78-80].
Likelihood ratio { L (the d of coded-bitk) method that carries out 0,1 bit decision：If L is (dk) ＞ 0, sentence information bitConversely, sentencing information bit
Step 6：{ L (the d that step 5 is obtainedk) the soft estimation of frequency domain transmission symbol is carried out, obtain frequency domain symbol estimation
ValueWillThe channel estimation obtained with step 3Feedback filtering is carried out, i.e.,BkFor inverse filter coefficient, filter
Ripple result is designated asFilter coefficient A is updated simultaneouslykAnd Bk；By the filter coefficient A after renewalkAnd BkSend into step
Four are iterated computing；
Frequency domain transmission symbol estimation method：
Filter coefficient AkAnd BkUpdate method：
Filter coefficient AkInitial value be set to complete 1.
The reception structure of communication system involved by this method is as shown in Figure 2 b.
Embodiment as shown in Figure 2 a and 2 b, including following step：
Step one：Transmitting terminal is first to binary information sequence { dnQc-LDPC codings are carried out, then to the letter after coding
Breath sequence { cnCarry out QPSK symbol mappings.Add Zadoff-Chu sequence as Frame frame in symbol front end in the mapped
Head, forms a complete frame data；Connected with full zero data between per frame data, form continuous transmitting data { xn}；
Launch data framing mode in step one as shown in figure 1, the emitter junction of communication system involved by our bright method
Structure is as shown in Figure 2 a；
Step 2：In receiving terminal, by Nr(NrThe transmitting letter of >=2) the antenna array receiving step one of individual reception antenna composition
Number, the signal that each reception antenna is received is done as follows：Before processing each frame data, the zero padding of Frame tail end is first removed
Data, then Frame frame head and data symbol are carried out respectively discrete Fourier transform DFT, obtain frequency domain frame headWith frequency domain data symbol
Step 3：Take any one reception antenna frequency domain frame head data that step 2 is obtainedCarry out letter
Road estimation, obtains channel estimation valueIt is standby；
Assume that data transmission channel time domain response is：
H=[h0,h1,...,hL-1]
Wherein, the number that L is propagated for channel multi-path, hiFor i-th interference contribution of channel；
Correspondingly the channel frequency domain response estimation of k-th data symbol is：
Wherein, K is the length of data symbol.
Step 4：Step 2 is obtainedTo filtering operation before carrying out, i.e.,Filter result is designated asWillObtain with step 6Make the difference；
When step 4 is carried out first, step 6 does not have input data to utilize, therefore, step 6 is output as zero, i.e.,
Step 5：Step 4 is obtainedInverse discrete Fourier transformer inverse-discrete IDFT is carried out, time domain output data is obtainedWillQc-LDPC decoders are sent into, soft decoding process, the likelihood ratio of decoder exports coding bit is carried out
{L(dk)}；If reaching the iterations of regulation, to likelihood ratio { L (dk) 0,1 bit decision is carried out, recover original transmitted information ratio
It is specialOtherwise, continue step 6, be iterated data processing；
Ldpc decoder is adopted and product BP soft decoding algorithms, BP algorithm referring to [Xiao Yang .Turbo and LDPC encoding and decoding and its
Using [M]. People's Telecon Publishing House, 2010：78-80].
Likelihood ratio { L (the d of coded-bitk) method that carries out 0,1 bit decision：If L is (dk) ＞ 0, sentence information bitConversely, sentencing information bit
Step 6：{ L (the d that step 5 is obtainedk) the soft estimation of frequency domain transmission symbol is carried out, obtain frequency domain symbol estimation
ValueWillThe channel estimation obtained with step 3Feedback filtering is carried out, i.e.,Filter result is designated as
Filter coefficient A is updated simultaneouslykAnd Bk；By the filter coefficient A after renewalkAnd BkSend into step 4 and be iterated computing；
In step 6, symbol estimator completes the soft estimation to frequency domain transmission symbol, obtains estimateMethod of estimation
For：
Wherein,It is the average (estimate) of time domain transmitting symbol, its computational methods is：
Wherein,It is QPSK symbol mapping sets, i.e., Represent assemble of symbol
In a value,Represent that time domain transmitting sign estimation value takes the probability of some symbol in assemble of symbol.
ProbabilityComputational methods it is as follows：
Wherein, P (dk,l) represent k-th and launch the probability that l-th coded-bit of symbol takes 0,1, its value is used in step 5
Likelihood ratio { L (the d of the coded-bit of decoder outputk) try to achieve, i.e.,：
The forward-direction filter and feedback filter coefficient update method of the frequency domain decisive feedback equalization device being related in step 6
It is as follows：
Following equation is set up in frequency domain to the data symbol of single antenna reception：
Wherein, Sd={ S1,...SKBe transmitted data symbols DFT transform, V={ v0,...,vK-1It is that channel addition is made an uproar
The DFT transform of sound, K is the length of data symbol, the diagonalization of Diag () representing matrix.
Then, to k-th receiving data symbol SkThere is following relation：
Zd,k=H (k) Sk+vk
Then, for Nr(Nr>=2) for individual reception antenna, NrK-th frequency domain transmission data symbols that individual reception antenna is received
Number SkThere is following relation：
Wherein, Zd,kIt is by NrThe data vector of the DFT transform composition of k-th data symbol that individual reception antenna is received, H
K () is by NrThe channel response vector of the channel frequency domain response composition of k-th data symbol that individual reception antenna is received, VkIt is letter
Add the DFT transform of noise in road.
The frequency domain evaluated error of frequency domain decisive feedback equalization device is as follows：
Wherein, ()HRepresenting matrix conjugate transposition.
Then, according to least mean-square error (MMSE) criterion, the forward-direction filter and feedback of frequency domain decisive feedback equalization device
Filter coefficient update formula is：
Wherein,It is noise variance, cov (Sk,Sk) it is frequency domain transmission data symbol auto-correlation,It is that frequency domain is sent out
Penetrate the cross-correlation of symbol and its frequency domain estimate symbol.
c o(vSk,Sk) computational methods it is as follows：
Wherein, E (Sk) be frequency domain transmission symbol average, E (Sk|2) be frequency domain transmission symbol square average；Its calculating
Formula is as follows：
Wherein,It is the average of time domain transmitting sign estimation,It is the equal of time domain transmitting sign estimation square
Value；Its computing formula is as follows：
Computational methods it is as follows：
Then, the forward-direction filter A of frequency domain decisive feedback equalization devicekWith feedback filter coefficient BkMore new formula can be with letter
Turn to：
Embodiment：Shallow underwater sound communication system, 50 meters of the depth of water, Qc-LDPC codes code rate 1/2, Frame frame head is a length of
128 bits, a length of 600 bit of information data, underwater acoustic channel model is mixing velocity of sound gradient channel.
During using the inventive method, bit error rate curve comparison is as shown in Figure 3-Figure 5.As seen from Figure 3, with no connection
The situation for closing iteration is compared, and using the Joint iteration processing method of the present invention, 2 iteration can obtain the signal to noise ratio more than 5dB
Gain；From fig. 4, it can be seen that balanced and decoding the number of times of Joint iteration is more, systematic function is better；Fig. 5 is further illustrated, using more
Many reception antennas, it is possible to obtain more space diversity gains, so as to obtain more snr gains, lift communication system
Receptivity, obtain more low error rate data transfer.
Claims (1)
1. a kind of communication system iteration receiving method, it is characterised in that comprise the steps：
Step one：Transmitting terminal is first to binary information sequence { dnQc-LDPC codings are carried out, then to the information sequence after coding
Row { cnCarry out QPSK symbol mappings；Add Zadoff-Chu sequence as Frame frame in data symbol front end in the mapped
Head, forms a complete frame data；Connected with full zero data between per frame data, form continuous transmitting data { xn}；
Step 2：In receiving terminal, by NrThe transmitting data of the antenna array receiving step one of individual reception antenna composition, connect to each
The signal for receiving antenna reception is done as follows：Before processing each frame data, the full zero data between every frame data is first removed, then
Frame frame head and data symbol are carried out respectively discrete Fourier transform DFT, frequency domain frame head is obtainedWith frequency domain number
According to symbolNr≥2；
Step 3：Take any one reception antenna frequency domain frame head that step 2 is obtainedCarry out channel estimation,
Obtain channel estimation valueKtFrame head length is represented, k represents k-th symbol；
Step 4：Step 2 is obtainedTo filtering operation before carrying out, obtainWherein, Ak
For forward-direction filter coefficient, filter result is designated asWillObtain with step 6Make the difference；
When step 4 is carried out first,
Step 5：Step 4 is obtainedInverse discrete Fourier transformer inverse-discrete IDFT is carried out, time domain output data is obtainedWillSend into Qc-LDPC decoders, the likelihood ratio { L (d of decoder exports coding bitk)}；If reaching
The iterations of regulation, to likelihood ratio { L (dk) 0,1 bit decision is carried out, recover original transmitted information bitOtherwise, enter
Enter step 6, be iterated data processing；Wherein parameter K represents the number of data symbol；
Likelihood ratio { L (the d of coded-bitk) method that carries out 0,1 bit decision：If L is (dk) ＞ 0, sentence information bitInstead
It, sentences information bit
Step 6：{ L (the d that step 5 is obtainedk) estimation of frequency domain transmission symbol is carried out, obtain frequency domain symbol estimate
WillThe channel estimation obtained with step 3Feedback filtering is carried out, i.e.,BkFor inverse filter coefficient, filter result
It is designated asFilter coefficient A is updated simultaneouslykAnd Bk；By the filter coefficient A after renewalkAnd BkSending into step 4 is carried out
Interative computation；
The method of estimation of described frequency domain transmission symbol isWherein,Represent transmitting symbol
Number；
Filter coefficient AkAnd BkUpdate method：Filter
Ripple device coefficient AkInitial value be set to complete 1, wherein,It is noise variance,It is the oblique variance of frequency domain transmission data symbol,
It is the correlation function of time domain transmitting symbol and estimate symbol.
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| CN106656417B (en) * | 2016-10-27 | 2019-11-19 | 晶晨半导体(上海)股份有限公司 | A kind of searcher solving the positive and negative frequency spectrum of dtmb single carrier |
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| CN101202729A (en) * | 2006-07-25 | 2008-06-18 | 北京凌讯华业科技有限公司 | TDS-OFDM communication system receiver based on LDPC code |
| CN101345730A (en) * | 2007-07-23 | 2009-01-14 | 清华大学 | Method and device for frequency decision feedback equalizer in TDS-OFDM receiver |
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| CN101202729A (en) * | 2006-07-25 | 2008-06-18 | 北京凌讯华业科技有限公司 | TDS-OFDM communication system receiver based on LDPC code |
| CN101345730A (en) * | 2007-07-23 | 2009-01-14 | 清华大学 | Method and device for frequency decision feedback equalizer in TDS-OFDM receiver |
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