Polar code coding and decoding method for m-ary orthogonal spread spectrum signal

Abstract

The invention discloses a polar code coding and decoding method for m-ary orthogonal spread spectrum signal, mainly solving the problem of poor bit error rate performance of m-ary orthogonal spread spectrum hard decision decoding in prior art and comprising the specific steps of: (1) reading an information sequence to be sent; (2) performing polar code coding on the information sequence; (3) performing interleaving processing on the polar code coding sequence; (4) performing m-ary orthogonal spread spectrum; (5) extracting a log-likelihood ratio sequence; (6) de-interleaving the log-likelihoodratio sequence; and (7) decoding the polar code. According to the soft-decision method of extracting the log-likelihood ratio sequence, the invention combines high-efficiency polar code coding and decoding with m-ary orthogonal spread spectrum, and has the advantages such as good error code performance, low complexity and high spectral efficiency, which meets the requirements of the channel coding and decoding technology for efficiency and reliability.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a method for encoding and decoding by combining multi-ary system orthogonal spread spectrum modulation and polar code in the technical field of satellite communication. The invention can be used in a satellite emergency communication system to realize high-efficiency channel error correction coding and decoding, and improve system reliability and frequency band efficiency. Background technique [0002] Polar code is a kind of channel coding proposed in 2007, and it is also the only channel coding that can theoretically prove that the channel capacity can be achieved when the code length is infinitely long. [0003] Xi'an University of Electronic Science and Technology applied for a patent document "Multiple Orthogonal Signal Low Density Check Code Coding and Decoding Method" (application date: March 4, 2014, application number: 201410075153.2, application publication ...

AI Technical Summary

Problems solved by technology

The shortcomings of this method are: first, the number of iterations is large and the time delay is large, which leads to a decrease in the throughput of the system and cannot meet the requirements of a higher information transmission rate; second, due to the multi-ary low-density parity The message update process of code verification is complex and the amount of calculation is large, which leads to complex implementation of the whole system, higher requirements on the processing capacity of the chip, and increases the cost of the communication system

The shortcomings of this method are: first, because high-order modulation has high requirements on channel quality, when the channel quality is poor, the bit error rate performance of the system does not meet the requirements of reliable communication, resulting in a decrease in transmission rate or even communication interruption; Second, the Euclidean distance of the modulated signal vector is short, resulting in poor anti-interference performance, and cannot be applied to emergency communication scenarios with complex interference

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