Layered low density parity check codes (LDPC) basis matrix processing and decoding method of 5th generation mobile communication systems ( 5G)) new radio (NR) standard

Abstract

The invention discloses a layered low density parity check codes (LDPC) basis matrix processing and decoding method of 5th generation mobile communication systems ( 5G)) new radio (NR) standard, and solves the problem of poor error code performance when the number of iterations is small in the prior art. The method consists of a layered LDPC decoding part and a basis matrix processing part. The layered LDPC decoding part includes that line structures of a basis matrix are rearranged after decoding variable initialization, and iterative decoding is performed according to line structure sequences of the rearranged basis matrix and a decoding verification matrix until the decoding process ends; and the basis matrix processing part includes that line weight of lines of the basis matrix is calculated, data of the lines of the basis matrix is rearranged in an ascending order by the line weight, and the decoding verification matrix is generated through cyclic shift expansion. In the method, structure transformation is performed on the basis matrix and the decoding verification matrix line by line, and a node with higher reliability is processed preferably in subsequent iterative decoding,thus decoding convergence is accelerated, the number of decoding iterations is reduced, and error code performance is improved. The method is compatible to all verification matrixes of 5G NR standard, and has characteristics of low complexity, good compatibility and easy operation, and is applicable in channel decoding of a wireless communication system.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and mainly relates to channel coding and decoding, in particular to a layered LDPC base matrix processing and decoding method of the 5G NR standard. It is used in channel decoding of wireless communication systems. Background technique [0002] When the digital signal is transmitted in the mobile communication system, the reliability of the communication will be reduced due to the noise interference and fading in the channel. In order to improve the reliability of the communication system and reduce the bit error rate of the system, channel coding and decoding technology came into being. Low Density Parity Check Codes (Low Density Parity Check Codes, LDPC) is a block error correction code with a sparse parity check matrix proposed by Gallager in 1963, which is suitable for almost all channels, and it can get very close to the Shannon limit performance, and the description and imp...

AI Technical Summary

Problems solved by technology

This scheme has its obvious defects: first, the amount of data that needs to be stored in the calculation process is large, which wastes system resources; second, the scheme is updated by row, and the convergence speed is slow. The number of iterations consumes system runtime

Even so, this scheme still has its deficiencies: the scheme decodes according to the layer structure according to the inherent order of the basis matrix. unsatisfactory

[0006] The decoding steps of the dynamic LDPC decoding scheme are very complicated. The update of each node needs to recalculate the residual value of the check information of all check nodes in the current check matrix. Not only that, but also involves the same column when updating the node information. The variable information of all variable nodes and the check nodes corresponding to each variable node

Obviously, this decoding scheme cannot adapt to the situation where the parity check matrix is ​​diverse and part of the parity check matrix is ​​very large under the 5G NR standard, the algorithm complexity is too high, and it is extremely inoperable

[0007] To sum up, there are still disadvantages in the prior art, such as high system resource consumption, low bit error rate performance, slow convergence speed, poor operability, etc.

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