Polarization code bit inversion decoding method based on code distance and polarization channel reliability

Abstract

The invention discloses a polarization code bit inversion decoding method based on code distance and polarization channel reliability, which specifically comprises the the steps of determining minimumand secondary minimum code weights of a code word, and arranging an information bit set according to a row weight ascending order; carrying out polar code encoding by a transmitter, and sending the polar code after BPSK modulation, and carrying out SCL decoding on the received polar code word for the first time by a receiver; constructing an inversion sequence; and executing multiple bit inversion processes according to the first SCL decoding result and the inversion sequence, wherein each bit inversion process essentially is to execute special SCL decoding once until decoding succeeds. Compared with an existing bit inversion method, the method provided by the invention has similar performance in a medium and long code scene and has obvious performance gain in a short code scene, and meanwhile, the maximum inversion frequency is not influenced by code length; and the method provided by the invention is beneficial to improving the short packet transmission performance of the Internet of Things IoT or machine type communication MTC.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a polar code bit inversion decoding method based on code distance and polar channel reliability. Background technique [0002] The polar code proposed by Turkish professor Arikan based on the channel polarization phenomenon is the first code word that has been theoretically proven to achieve the symmetric capacity of a binary-input discrete memoryless channel (B-DMC). Polar codes have been adopted by the fifth-generation mobile communication standards as a coding scheme for control channels in eMBB scenarios in 5G. The serial cancellation decoding algorithm (successive cancellation, SC) proposed by Professor Arikan, in the case of limited code length, will cause the degradation of the bit error rate performance of the system because the bit channel is not completely polarized. The serial elimination list decoding algorithm (successive cancellation list...

AI Technical Summary

Problems solved by technology

The error bits in the SC and SCL decoding sequences are mainly caused by two types of factors: (1). The error information transmission effect caused by the existing error bits

(2). System noise and interference

[0008] According to the results of literature search, no polar code bit inversion decoding method specially researched for small packet transmission scenarios has been found, and no polar code bit inversion sequence is constructed by using the code distance attribute and polar channel reliability at the same time. reverse decoding method

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