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Decoding optimization method of distributed joint source channel coding system

A technology of channel coding and optimization method, applied in the field of source channel coding

Inactive Publication Date: 2018-06-12
XIAMEN UNIV
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Problems solved by technology

[0008] The distributed joint source-channel coding system based on LDPC codes uses the BP decoding method to recover the source information. However, the performance of the BP decoding method is limited by short loops, and LDPC codes with a code length less than 2000 bits usually have short loops. It is also the reason why the distributed joint source channel coding system needs long LDPC codes to achieve good performance
In wireless sensor networks, due to the limitations of complexity, delay and power consumption, the transmission codewords are usually limited to short codes. Therefore, it is urgent to study the performance of distributed joint source channel coding systems that use short codes for transmission.

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  • Decoding optimization method of distributed joint source channel coding system
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  • Decoding optimization method of distributed joint source channel coding system

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Embodiment Construction

[0052] The following embodiments will further illustrate the present invention in conjunction with the accompanying drawings.

[0053] figure 1 Give the block diagram of the distributed joint source channel coding system, figure 2 A performance comparison chart of the bit error rate (BER) between the optimized decoding algorithm and other decoding algorithms at different system code rates and the same transition probability is given (the code length is 500 bits), image 3 A performance comparison chart of the bit error rate (BER) between the optimized decoding algorithm and other decoding algorithms at the same system code rate and different transition probabilities is given (the code length is 1000 bits).

[0054] At the sending end, two independent and identically distributed source sequences are sent, and the LDPC codes are used to encode the two sources at the same time. The encoded two codewords reach the receiving end through BPSK modulation and AWGN channel, and the r...

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Abstract

The invention provides a decoding optimization method of a distributed joint source channel coding system, and relates to source channel coding. The method comprises the following steps: step 1, carrying out external iteration initialization, that is, an initial value of side information of all variable nodes is set to be 0; step 2, carrying out external iteration, if an external iteration stop request is satisfied, stopping the iteration, otherwise, calculating the side information Lsi, mu(j),mu={1,2} of all variable nodes; step 3, in order to further suppress error propagation, carrying outa compensation operation on the side information of the variable nodes that belong to the range of Delta unreliable variable points; and step 4, determining a decoded codeword Cmu^, if the equation Cmu^HT=0 is established or a maximum number of external iterations has been reached, and ending the external iteration; otherwise, returning to the step 2.

Description

technical field [0001] The invention relates to information source channel coding, in particular to a decoding optimization method of a distributed joint information source channel coding system based on LDPC codes. Background technique [0002] The data obtained by the nodes in the wireless sensor network is usually correlated, and considering the power limitation of the wireless sensor, the distributed source coding (distributed source coding, DSC) technology is very suitable for application in the wireless sensor network. The main idea of ​​the DSC system is independent encoding / joint decoding, that is, compressing and encoding multiple related information sources that do not communicate with each other, and sending the compressed results to the same central node, using data from different nodes. The correlation of the nodes is jointly decoded. Compared with the traditional coding technology, DSC technology considers the statistical correlation of source data at the deco...

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Application Information

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IPC IPC(8): H04L1/00H03M13/11
Inventor 王琳刘三亚吕毅博洪少华
Owner XIAMEN UNIV