A kind of ldpc encoding method

Abstract

The invention provides a kind of LDPC encoding method, comprising the following steps: designing an LDPC encoding matrix for LDPC encoding; initializing the encoding memory RAM, and sequentially inputting the information bit part of the serial input and the column matrix information of each column of the encoding matrix respectively Carry out the operation, and the obtained operation result is stored in the encoding memory for outputting the parity bit part; wherein, the quantity of the encoding memory is determined by the maximum column weight N of the encoding matrix, and the LDPC encoding matrix is ​​designed, including: the encoding matrix takes L columns as the unit , divided into several sub-column matrices; the first column matrix information in the sub-column matrix is ​​given by the LDPC code table, and the subsequent adjacent column matrix information is obtained from the first column matrix information through a preset calculation method. This method can make LDPC code The storage space of the device should be as small as possible without making the design too difficult, and the versatility of different codewords can also be taken into account.

Description

technical field [0001] The invention belongs to the technical field of channel coding, in particular to an LDPC coding method. Background technique [0002] LDPC (Low Density Parity Check Code, Low Density Parity Check Code) coding technology is a research hotspot in the field of channel coding in recent years, and has been widely used in satellite communication, optical fiber communication, mobile communication, digital broadcast communication and other fields. The advantage of LDPC code is that it is close to the Shannon limit, flexible structure, and lower error floor; but the disadvantage is that the hardware resource requirements are relatively large, especially the longer codewords can reflect the performance advantages, resulting in more complex encoding and requiring more hardware. The resources are larger; if the encoder is designed purely from the perspective of saving resources, the control of the encoder will be complicated or excessive processing delay will be b...

AI Technical Summary

Problems solved by technology

Such a large storage capacity requirement is very unfavorable for the miniaturization and low power consumption of the LDPC encoder; in order to save storage space, only 1*25920 storage units can be used, but the corresponding addressing operations will become quite complicated. The processing delay will also be greatly increased, which will bring great difficulties to achieve fast and reliable LDPC encoding

In addition, because LDPC codewords also have certain "irregular" characteristics, that is, a considerable part of the codewords cannot be obtained through calculations, so that the implementation structure of the LDPC encoder is closely related to the construction structure of the codewords, thus changing the code table is likely to lead to The entire LDPC encoder design is pushed back to the

[0004] To sum up, when performing LDPC encoding, if we can find a way to make the storage space of the LDPC encoder as small as possible, without making the design too difficult, and taking into account the versatility of different codewords—replace The codeword will not make the whole design overturned, then this method can be regarded as a significantly improved LDPC encoder design method

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