CN105721103A - Method of reducing mobile communication system decoding time delay - Google Patents

Method of reducing mobile communication system decoding time delay Download PDF

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Publication number
CN105721103A
CN105721103A CN201610036774.9A CN201610036774A CN105721103A CN 105721103 A CN105721103 A CN 105721103A CN 201610036774 A CN201610036774 A CN 201610036774A CN 105721103 A CN105721103 A CN 105721103A
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snr
channel
mobile communication
communication system
data
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CN105721103B (en
Inventor
吴广富
杨钱英
王茜竹
林峰
郑焕平
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Chongqing University of Post and Telecommunications
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Chongqing University of Post and Telecommunications
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0056—Systems characterized by the type of code used
    • H04L1/0071—Use of interleaving
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
    • H04L1/0045—Arrangements at the receiver end
    • H04L1/0054—Maximum-likelihood or sequential decoding, e.g. Viterbi, Fano, ZJ algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/0202—Channel estimation
    • H04L25/024—Channel estimation channel estimation algorithms
    • H04L25/025—Channel estimation channel estimation algorithms using least-mean-square [LMS] method
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03891—Spatial equalizers
    • H04L25/03949—Spatial equalizers equalizer selection or adaptation based on feedback

Abstract

The invention relates to a method of reducing mobile communication system decoding time delay, and belongs to the mobile terminal technology field. The method is characterized in that S1, signal to noise ratio SNR can be estimated; S2, whether data is effectively received can be determined; S3, the data can be effectively received in a balanced manner; S4, the ineffectively-received data can be padded; S5, the de-interleaver and the channel decoding can be carried out. The method is advantageous in that on the basis of guaranteeing the quality of the received signals, the discrete effect of the de-interleaver of the receiving end on the error information and the error correcting performance of the channel decoding can be fully used, and the influence of the received error burst data on the performance of the receiving end can be reduced, and the complexity of the balancing process of the receiving end can be reduced; for the whole receiving end system, the adaptability of the receiving end algorithm to the wireless environment can be enhanced, and the signal processing time delay can be reduced greatly.

Description

A kind of method reducing mobile communication system decoding delay
Technical field
The invention belongs to mobile communication technology field, particularly satellite mobile communication receiving terminal digital signal processing technique field, relate to a kind of method reducing mobile communication system decoding delay.
Background technology
Geostationary satellite mobile communication system (GMR, GEO-MobileRadioInterface) it is the satellite mobile communication standard formulated of ETSI (ETSI, EuropeanTelecommunicationsStandardsInstitute).GMR standard is that therefore satellite mobile terminal can access GSM core network from ground digital honeycomb global mobile communication (GSM, GlobalSystemforMobileCommunication) standard evolution.Due to GMR mobile communication system and gsm mobile communication system difference over the wireless channel, therefore both have very big-difference on a physical layer.Along with gsm wireless mobile communication system to general packet radio service technology (GPRS, and third generation digital communication (3G GeneralPacketRadioService), 3rdGeneration) the evolution of standard, GMR standard is also evolution therewith, successively issue GMR-1, GMR-GPRS and GMR-3G.GMR-1 corresponds to GSM standard, the basic circuit domain speech of main support and facsimile service；GMR-GMPRS corresponds to GPRS standard, mainly supports Packet data service；GMR-3G corresponds to 3G (WCDMA, WidebandCodeDivisionMultipleAccess) standard, mainly supports high-speed packet data service.
In mobile communication system, it is contemplated that wireless channel and the impact of some random factors, overall balanced, the interpretation method performance according to wireless channel worst situation design receiving terminal therefore it is typically all.But under true wireless environment, especially, in broadcast channel situation, base station end/gateway station is with full power broadcast wireless signal, at this point for major part terminal, received signal power can much larger than reference sensitivity, and signal quality also can far above normal received signal level.Additionally GMR mobile communication system have employed channel decoding technology, sends mistake in order to correct reception signal in wireless channel transmitting procedure.In GMR satellite communication system, mainly adopt wireless signal pass-through mode due to geostationary satellite, which includes the operations such as power amplification.If the mistake of wireless channel generation longer duration, for instance more than 1 burst (burst) interval, then whole receiving terminal can be caused to receive declining to a great extent of digital signal quality.
For above-mentioned analogue, if still adopting conventional receiver terminal number word signal processing flow, channel decoding effect not only can not be played, and because receiving terminal sophisticated signal processing method causes certain delay.Therefore, at receiving terminal under ensureing received signal quality premise, how to reduce the problem that signal processing postpones to be to need to consider as far as possible.
Summary of the invention
In view of this, it is an object of the invention to provide a kind of method reducing mobile communication system decoding delay, it is poor that the method emphasis considers that wireless channel receives some bursts, and major part receives the better situation of burst, when receiving, some bursts are poor prescribes a time limit lower than preset gate, directly adopts the filling signal of zero information to decode.This method is ensureing on received signal quality basis, take full advantage of receiving terminal and deinterleave the error-correcting performance of the debunching action to error message and channel decoding, not only reduce reception error burst data to receiving terminal performance impact, and reduce receiving terminal balancing procedure complexity.For whole receiving terminal system, not only increase receiving terminal algorithm to wireless environment adaptive capacity, and greatly reduce signal processing time delay.
For reaching above-mentioned purpose, the present invention provides following technical scheme:
A kind of method reducing mobile communication system decoding delay, comprises the following steps: S1: estimate signal to noise ratio snr (SNR, SignaltoNoiseRatio)；S2: decide whether effectively to receive data；S3: equilibrium effectively receives data；S4: fill invalid receiver data；S5: deinterleaving, channel decoding.
Further, in step sl, carry out channel estimating, SNR estimation according to every section of condition code respectively, specifically include:
Channel estimating h:
Adopt and receive data r and known condition code or the reception signal u that estimated carries out related operation and carries out channel estimating, it may be assumed that
H=xcorr (r, u)
Wherein, r represents the wireless signal of reception, and u represents known condition code or the reception signal estimated, xcorr represents related operation；
Estimate SNR:
Adopt the logarithm value estimation SNR of channel estimation power and noise power ratio, it may be assumed that
S N R = 10 log 10 ( Σ | h | 2 1 N Σ i = 1 N | r i - u i | 2 )
Wherein, h represents radio channel estimation, i=1,2 ..., N；
Or, adopt channel estimation power to estimate SNR with noise power ratio, it may be assumed that
S N R = Σ | h | 2 1 N Σ i = 1 N | r i - u i | 2
Wherein, h represents radio channel estimation, i=1,2 ..., N.
Further, in step s 2, whether effectively in the following ways judgement receives data: SNR, whether more than predefined thresholding, takes SNR more than two end datas about the condition code of thresholding as effectively receiving data.
Further, in step s 2, whether effectively in the following ways judgement receives data: the SNR that different characteristic is estimated is ranked up, and takes some burst maximum for SNR as effectively receiving burst.
Further, in step s3, adopt the equalization methods of decision feedback equalization or maximum-likelihood sequence estimation, equilibrium is carried out by step S2 judgement for valid data on what affect through wireless channel interference factor, make the reception signal maximal possible recovery through the impact of wireless channel interference factor send effective information, provide essential condition for follow-up decoding.
Further, in step s 4, it is filled with by zero information not normally receiving data acquisition: all SNR are filled with less than the burst of thresholding；Or, some burst that SNR is minimum carry out thresholding contrast, only the burst less than thresholding are filled with.
Further, in step s 5, receiving terminal error message is carried out fully discrete by deinterleaving, thus ensureing the channel decoding error correction to isolated errors information；Owing to the SNR of major part reception burst is higher, by channel decoding (such as Viterbi decoding algorithm), can recover filling channel receiving information completely.
The beneficial effects of the present invention is: this method is ensureing on the basis of received signal quality, take full advantage of receiving terminal and deinterleave the error-correcting performance of the debunching action to error message and channel decoding, not only reduce reception error burst data to receiving terminal performance impact, and reduce receiving terminal balancing procedure complexity；For whole receiving terminal system, not only increase receiving terminal algorithm to wireless environment adaptive capacity, and greatly reduce signal processing time delay.
Accompanying drawing explanation
In order to make the purpose of the present invention, technical scheme and beneficial effect clearly, the present invention provides drawings described below to illustrate:
Fig. 1 is the flow chart of the method for the invention；
Fig. 2 is NormalTraffic9 channel data block interleaving, multiplexing structure figure；
Fig. 3 is NormalTraffic9 channel data block interleaving, multiplexing structure figure after deformation；
Fig. 4 is the simulation architecture figure of NormalTraffic9 channel；
Fig. 5 is the simulation result figure that embodiment realizes.
Detailed description of the invention
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
Fig. 1 is the flow chart of the method for the invention, as it can be seen, the method for the invention specifically includes:
Step 1: estimate signal to noise ratio snr (SNR, SignaltoNoiseRatio)
In GMR satellite mobile communication system, length be 9 burst NormalTraffic channel data block interleavings, multiplexing structure figure as in figure 2 it is shown, wherein G represent protection interval, u represents condition code, and e represents coded data.Figure it is seen that condition code being unevenly distributed in single burst, but 4 sections of condition code approaches uniformity are distributed in 9 bursts, represent the received signal quality of different pieces of information section respectively, as shown in Figure 3.In order to better grasp 9 different burst reception signal qualitys, every section of condition code can carry out channel estimating respectively, SNR estimates, represent the received signal quality at two ends, this section of condition code left and right respectively, namely may be considered former 9 bursts, be reclassified as 4 new burst structure according to condition code.Then can carry out channel estimating respectively according to every section of condition code, SNR estimation procedure is:
Channel estimating h:
The reception data r of jth section condition codejWith known condition code uj, adopt correlation technique to carry out channel estimating, it may be assumed that
hj=xcorr (rj,uj)(1)
Wherein, hjRepresenting the channel estimating of jth section condition code, j=1,2,3,4, xcorr represent related operation.
Estimate SNR:
Jth section condition code correspondence SNRj, it is possible to adopt the logarithm value of channel estimation power and noise power ratio to be calculated, it may be assumed that
SNR j = 10 log 10 ( Σ | h j | 2 1 N Σ i = 1 N | r i - u i | 2 ) - - - ( 2 )
Preferably, channel estimation power is adopted to estimate SNR with noise power ratio, it may be assumed that
SNR j = Σ | h j | 2 1 N Σ i = 1 N | r i - u i | 2 - - - ( 3 )
Wherein, hjRepresenting radio channel estimation, when j is respectively equal to 1,2,3,4, N is respectively equal to 12,6,6,6.Σ | hj|2Represent that all channel estimation values by jth section condition code is estimated are overlapped.
Step 2: decide whether effectively to receive data
First preset threshold T is the several times of noise, it may be assumed that
T j = γ N Σ i = 1 N | r i - u i | 2 - - - ( 4 )
Wherein, γ represents noise gate weight coefficient, based on experience value or simulation value determine.
Alternatively, if SNRjMore than predefined thresholding Tj, take about this section of condition code that two end datas are as effectively receiving data, otherwise as invalid burst reception data；
Preferably, the SNR to different sectionsjIt is ranked up, only as minimum SNRjMore than thresholding TjTime, take about this section of condition code that two end datas are as effectively receiving data, otherwise as invalid burst reception data.
Step 3: balanced valid data
Adopting the equalization methods of decision feedback equalization or maximum-likelihood sequence estimation, for valid data, being adjudicated by step 2 of affect through wireless channel interference factor is carried out equilibrium, maximal possible recovery sends effective information, for follow-up decoding offer essential condition.
Step 4: fill invalid data
Zero information is adopted to be filled with for invalid data being adjudicated by step 2 of affecting through wireless channel some questions.Wherein zero information refers to, and filling information does not comprise any effective reception information.Such as receiving scope of data is [-127,127], then 0 does not have any effective information for receiving data.Adopt zero information to be filled with, the reception data of low SNR can be reduced on the one hand to overall performance impact；On the other hand, in information filling process, reduce as far as possible and introduce interference information.
Step 5: deinterleaving, channel decoding
Receiving terminal error message is carried out fully discrete by deinterleaving, thus ensureing the channel decoding error correction to isolated errors information；Owing to the SNR of major part reception burst is higher, by channel decoding (such as Viterbi decoding algorithm), unknown channel receiving information can be recovered completely.Certainly this process is likely to the certain operations including other, for instance is demultiplexed, goes scrambler and CRC decoding etc., depends on the selection of emulation link.
Realize method effectiveness to further illustrate a kind of mobile communication system time delay that reduces provided by the invention, NormalTraffic9 channel tradition in GMR satellite communication system sends and receives emulation link below and is verified, as shown in Figure 4.Raw information completes transmitting terminal baseband procedure through CRC coding, convolutional encoding, intertexture, scrambler, multiplexing and debugging, is then passed through wireless channel.At receiving terminal, first it is demodulated, is then sequentially carried out demultiplexing, goes scrambler, deinterleaving, folding coding and CRC decoding, such that it is able to calculate the bit error rate of whole emulation link by sending data and reception data.In order to simplify simulation process, adopt following simulated conditions:
1) wireless channel is white Gaussian noise, SNR=0,1,2 ..., 10dB；
2) demodulation adopts hard decision output, and namely 0,1, namely filling information is 0.5；
3) channel decoding adopts the viterbi coding method of Hamming distance；
4) situation 1 is that tradition shown in Fig. 4 sends and the process of reception；Situation 2 supposes that all burst1 (as shown in Figure 2) are received data is filled with；Situation 3 supposes that all burst1 and burst4 (as shown in Figure 2) are received data is filled with；Situation 4 supposes that all burst1, burst4 and burst6 (as shown in Figure 2) are received data is filled with.
When noise gate weight coefficient γ=4, fill burst number and be not more than 3, then performance loss is can in range of receiving.Adopt said method, although add the estimation complicated degree of analysis of wireless channel, but for invalid information, be made without the associative operations such as wireless channel equalization (accounting for the 40-60% of whole receiving terminal computation complexity).Therefore adopt the inventive method not only to reduce whole receiving end signal and process complexity, and reduce receiving end signal processing delay.Fig. 5 is simulation result figure.
What finally illustrate is, preferred embodiment above is only in order to illustrate technical scheme and unrestricted, although the present invention being described in detail by above preferred embodiment, but skilled artisan would appreciate that, in the form and details it can be made various change, without departing from claims of the present invention limited range.

Claims (7)

1. the method reducing mobile communication system decoding delay, it is characterised in that: comprise the following steps:
S1: estimate signal to noise ratio snr；
S2: decide whether effectively to receive data；
S3: equilibrium effectively receives data；
S4: fill invalid receiver data；
S5: deinterleaving, channel decoding.
2. a kind of method reducing mobile communication system decoding delay according to claim 1, it is characterised in that: in step sl, carry out channel estimating respectively according to every section of condition code, SNR estimates, specifically includes:
Channel estimating h:
Adopt and receive data r and known condition code or the reception signal u that estimated carries out related operation and carries out channel estimating, it may be assumed that
H=xcorr (r, u)
Wherein, r represents the wireless signal of reception, and u represents known condition code or the reception signal estimated, xcorr represents related operation；
Estimate SNR:
Adopt the logarithm value estimation SNR of channel estimation power and noise power ratio, it may be assumed that
S N R = 10 log 10 ( Σ | h | 2 1 N Σ i = 1 N | r i - u i | 2 )
Wherein, h represents radio channel estimation, i=1,2 ..., N；
Or, adopt channel estimation power to estimate SNR with noise power ratio, it may be assumed that
S N R = Σ | h | 2 1 N Σ i = 1 N | r i - u i | 2
Wherein, h represents radio channel estimation, i=1,2 ..., N.
3. a kind of method reducing mobile communication system decoding delay according to claim 1, it is characterized in that: in step s 2, whether effectively in the following ways judgement receives data: SNR, whether more than predefined thresholding, takes SNR more than two end datas about the condition code of thresholding as effectively receiving data.
4. a kind of method reducing mobile communication system decoding delay according to claim 1, it is characterized in that: in step s 2, whether effectively in the following ways judgement receives data: the SNR that different characteristic is estimated is ranked up, and takes some burst maximum for SNR as effectively receiving burst.
5. a kind of method reducing mobile communication system decoding delay according to claim 1, it is characterized in that: in step s3, adopt the equalization methods of decision feedback equalization or maximum-likelihood sequence estimation, equilibrium is carried out by step S2 judgement for valid data on what affect through wireless channel interference factor, make the reception signal maximal possible recovery through the impact of wireless channel interference factor send effective information, provide essential condition for follow-up decoding.
6. a kind of method reducing mobile communication system decoding delay according to claim 1, it is characterised in that: in step s 4, it is filled with by zero information not normally receiving data acquisition: all SNR are filled with less than the burst of thresholding；Or, some burst that SNR is minimum carry out thresholding contrast, only the burst less than thresholding are filled with.
7. a kind of method reducing mobile communication system decoding delay according to claim 1, it is characterised in that: in step s 5, receiving terminal error message is carried out fully discrete by deinterleaving, thus ensureing the channel decoding error correction to isolated errors information；Owing to the SNR of major part reception burst is higher, by channel decoding, filling channel receiving information is recovered.
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Cited By (2)

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WO2020168527A1 (en) * 2019-02-21 2020-08-27 华为技术有限公司 Channel error code monitoring method and device
CN112713966A (en) * 2020-12-30 2021-04-27 大连大学 Code modulation switching method based on likelihood estimation correction signal-to-noise ratio

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WO2020168527A1 (en) * 2019-02-21 2020-08-27 华为技术有限公司 Channel error code monitoring method and device
CN112713966A (en) * 2020-12-30 2021-04-27 大连大学 Code modulation switching method based on likelihood estimation correction signal-to-noise ratio
CN112713966B (en) * 2020-12-30 2023-07-25 大连大学 Code modulation switching method based on likelihood estimation correction signal-to-noise ratio

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