Polar Code Bit Inversion Decoding Method Based on Code Distance and Polar Channel Reliability

Abstract

The invention discloses a polarized code bit inversion decoding method based on the code distance and the reliability of the polarized channel, specifically: determining the smallest and second smallest code weights of a code word, and arranging information bit sets in ascending order of row weights; The transmitter encodes the polar code and transmits it after BPSK modulation. The receiver performs the first SCL decoding on the received polar code word; constructs the inversion sequence; performs multiple The second bit inversion process, the essence of each bit inversion process is to perform a special SCL decoding until the decoding is successful. Compared with the existing bit inversion method, the proposed method has similar performance in medium and long code scenarios, and has obvious performance gain in short code scenarios, and at the same time, the maximum number of inversion times will not be affected by the code length; the present invention The proposed method is beneficial to improve the short packet transmission performance of IoT or 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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