Decoding method and device for low density check code

Abstract

The invention discloses a coding method of a low density parity-check code (LDPC) code, according to the method, the layering LDPC code is used as the error correcting code, and the layering LDPC code is used to perform the layering coding on the received data at the data receiving end. The invention also discloses a coding device of the LDPC code, comprising an error correcting code structural unit, for structuring each layer of check matrix of the layering LDPC code, and using the layering LDPC code as the error correcting code. The device also includes a decode unit arranged at the data receiving end, for performing the layering decode on the received data through the layering LDPC code structured by the error correcting code structural unit. According to the method and the device, thecost of the system is reduced, the decoding delay is shortened, the decoding performance is advanced, which is applicable for the high speed data operation.

Description

technical field [0001] The present invention relates to communication technology, in particular to a decoding method and a decoding device based on Low Density Check Code (LDPC) encoding of Hybrid Automatic Repeat reQuest (HARQ, Hybrid-Automatic Repeat reQuest) communication. Background technique [0002] The most notable feature of current communication technology is the complexity and time-varying nature of communication system channels, and the resulting bit errors. In view of this characteristic, currently, a retransmission feedback method (ARQ, Automatic Repeat reQuest) and a forward error correction method (FEC, Forward Error Correction) are usually used for error control. ARQ and FEC are technologies for error control using error detection codes and error correction codes respectively. The principle of ARQ is that the receiving end feeds back information through the reverse channel, so that the sending end resends the wrong data packet, and stops resending until the ...

AI Technical Summary

Problems solved by technology

[0005] 1. It cannot check itself, and needs to add cyclic redundancy check code (CRC) check bits, which increases system overhead

[0006] 2. The decoding is complicated, the amount of cached data is large, the number of decoding iterations is limited, and the decoding delay is large, which is not suitable for real-time business

[0007] 3. Poor performance when compiling medium and long codes

[0008] 4. For high-speed downlink transmission services, the processing workload of the algorithm is concentrated on the mobile station, which increases the implementation complexity of the mobile station, resulting in high cost, high power consumption and short standby time of the mobile station

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