Construction and encoding method of a multi-rate multi-code length ldpc code

Abstract

The invention provides a construction and coding method for multi-code rate and multi-code length LDPC (Low Density Parity Check) codes. The method comprises the steps of constructing a template matrix; constructing check matrixes according to the template matrix; receiving an information bit length, a coding bit length and input information bits; selecting a target template matrix, acquiring a coding check matrix according to the target template matrix, acquiring a shortened check matrix according to the coding check matrix, acquiring an intercepted check matrix according to the shortened check matrix, and carrying out zero filling on the input information bits to acquire filled information bits; carrying out LDPC coding on the filled information bits to acquire coding bits; removing zerofilled bits and partial check bits in the coding bits, and deleting partial information bits contained in the coding bits to acquire output coding bits. According to the method, the multi-code rate and multi-code length QC-LDPC (Quasi-Cyclic LDPC) codes of which information bit and check bit lengths are changed bit by bit can be constructed, moreover, the performance of the QC-LDPC codes is guaranteed, and the design and realization of a coding modulation system based on the LDPC codes are simplified.

Description

technical field [0001] The invention relates to the technical field of digital information transmission, in particular to a construction and encoding method of a multi-code-rate and multi-code-length LDPC code. Background technique [0002] In the field of information transmission, under given channel conditions (such as signal-to-noise ratio, Signal-to-Noise Ratio, SNR), the maximum transmission rate of noise and interference channels is limited by the Shannon channel capacity, and the effectiveness and reliability of information transmission require High-performance channel coding approaching the theoretical bounds of channel capacity. On the other hand, the diversity of user needs, channel conditions, and coding and modulation schemes in actual information transmission requires channel coding with multiple code rates and multiple code lengths. extreme demand. To sum up, efficient and reliable information transmission in practical systems requires the design of channel c...

AI Technical Summary

Problems solved by technology

For example, for regular LDPC codes, the row weights of the check matrix are all the same, and the column weights are all the same. The analysis shows that the performance of regular LDPC codes at various code rates has a certain gap with the theoretical field of channel capacity.

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