Iterative polarization code receiver, system and iterative polarization code decoding method

Abstract

The invention discloses an iterative polarization code receiver and an iterative polarization code decoding method. The iterative polarization code receiver comprises a detector, a first adder-subtractor, a deinterleaver, an iterative polarization decoder, a second adder-subtractor, a second interleaver and an inverse mapper. According to the iterative polarization code receiver and the iterative polarization code decoding method, the bit error rate and block error rate performances of a wireless communication system can be improved on the condition of not improving the decoding complexity while coding gain is kept, and therefore the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of coding and decoding in wireless communication, in particular to a polar code iterative receiver, a system and a polar code iterative decoding method. Background technique [0002] In order to improve the bit error performance of polar codes in wireless communication transmission, existing receiving schemes focus on the design and improvement of decoders. In the prior art, the redesigned and transformed decoding schemes can be classified into the following two categories: [0003] The first type is a decoding scheme in which the original polarization code continuous cancellation (Successive cancellation, SC) decoding algorithm is used to serially process the decoding information; [0004] The second category is a decoding scheme in which LDPC code BP decoding algorithm is used to process decoding information in parallel. [0005] In the first type of scheme, typical decoding schemes include: Successive c...

AI Technical Summary

Problems solved by technology

Its biggest advantage is that the BP algorithm can calculate each bit in the codeword in parallel, which is conducive to hardware implementation; but the disadvantage is that the BP algorithm requires a large number of internal iterations, and the calculation complexity is high

[0007] To sum up, the solutions for improving the bit error performance of polar codes in the prior art are limited to treating polar code coding and decoding as independent modules, such as modules independent of modulation mapping, and there is no system-level improvement solution , the key point is that none of the algorithms involves solving the inverse calculation problem of polar code encoded bit soft information

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