Low density check code decoding method based on outer information symbol variation

Abstract

The invention relates to a low density check code decoding method based on outer information symbol variation, belongs to the communication system channel error correcting and decoding technology field. The method comprises: judging whether the hard decision vector of the signal satisfies the verification equation, if satisfies, decoding successively, otherwise, starting the iteration decoding; summing up the initial soft information and outer information of all the verification nodes connected to the last iteration decoding to obtain the information transmitted from the information node to the verification node in the first iteration decoding process; performing symbol comparison to the information and the information transmitted to the verification node in the last iteration, if they are same, transmitting the information to the verification node, otherwise, multiplying the information by alpha and transmitting to the verification node; the verification node obtaining new soft information utilizing the information; and performing hard judging to the new information, if it satisfies the verification equation, decoding successively; otherwise, going to next iteration. The invention alleviates the problem of decoder un-convergence caused by error symbol number fluctuation in the current soft information based iteration decoding methods.

Description

technical field [0001] The present invention relates to a method in the technical field of communication, in particular to a low density check code decoding method based on external information symbol changes. Background technique [0002] In a communication system, the interference of various noises will cause errors in the information symbols received by the receiver, and channel error correction coding can be used to combat this interference. Channel error correction coding is to add redundant information to the transmitted information, so that the receiver can use the specific relationship between the transmitted information and the redundant information to eliminate errors and restore the transmitted information. [0003] Iterative decoding is the process of turning the decoding process into a reciprocating cycle. Through repeated iterative cycles, errors in the transmitted information are gradually eliminated; compared with the traditional one-time decoding method, ite...

AI Technical Summary

Problems solved by technology

The present invention detects the encoding of the outer information symbol sent by the information node to the check node in the two consecutive iterative decoding processes, and suppresses the value of the outer information changed by the symbol, thereby alleviating the process of the existing iterative decoding method based on soft information. The problem that the decoder does not converge due to fluctuations in the number of error symbols

Images