Distributed type combined information source-channel superposition coding and combined decoding method

Abstract

The invention discloses a distributed type combined information source-channel superposition coding and combined decoding method. The method mainly solves the problem that the combined decoding performance is poor under the situation that an associated channel and an actual channel are not matched in existing related source coding. The method comprises the implementation steps that (1), a sending end codes a first information source information sequence and a second information source information sequence generated by information source information, and interleaving processing is carried out on coded codons; (2), BPSK modulation and superposition processing are carried out on the two parts of codons generated after the interleaving processing according to the corresponding power; (3), the signals generated after the superposition processing are transmitted through the actual channel, and the first information source information sequence is transmitted through the associated channel; (4), a decoding end carries out iteration processing on the received information in the mode that soft information is transmitted between two decoders until more accurate information source information is decoded out. The distributed type combined information source-channel superposition coding and combined decoding method can effectively restrain error spreading and improve the error rate performance, thereby being more suitable for wireless channel scenes with large channel random fluctuation.

Description

technical field [0001] The invention belongs to the field of communication technology, and further relates to a distributed joint source-channel coding and joint decoding method, which can be used to reduce the impact of random channels on system performance and improve the bit error rate performance of the system. Background technique [0002] Distributed source coding is a kind of coding method based on the compression of associated sources proposed by Slepian and Wolf in 1973. Encoders cannot communicate with each other, and joint decoding is performed at the decoder. Distributed source coding not only has good performance close to the Shannon limit, but also has low decoding complexity, high throughput, and flexible structure. It is a research hotspot in the field of source coding in recent years. Optical fiber communication, terrestrial and satellite digital multimedia broadcasting and other fields. [0003] The traditional distributed source network model such as fi...

AI Technical Summary

Problems solved by technology

In this method, although the decoder does not produce the error propagation problem in the adjoint method, the performance of the entire code will be limited by the relatively poor channel when the associated channel and the actual channel do not match. The better channel is not effectively utilized, so the performance of the overall code is much worse, so the parity method is not practical in the case of channel mismatch

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