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Mini-sum decoding correcting method based on linear minimum mean error estimation

A technology of minimum mean square error and decoding method, applied in the field of LDPC coding, which can solve problems such as increasing the amount of calculation

Inactive Publication Date: 2012-12-05
FUZHOU UNIV
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Problems solved by technology

[0009] In practical engineering applications, the Monte Carlo method is also used to determine the correction factor, which can get a more accurate estimate, but due to the need for a large number of calculation simulation experiments, it greatly increases the amount of calculation

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  • Mini-sum decoding correcting method based on linear minimum mean error estimation
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  • Mini-sum decoding correcting method based on linear minimum mean error estimation

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Embodiment Construction

[0055] For the convenience of description, the symbols involved in the method of the present invention are explained first. LDPC codes can be represented by two methods of check matrix H and Tanner diagram, and there is a one-to-one correspondence between them. The columns in the check matrix correspond to the variable nodes in the graph, and use i Indicates; and the rows in the check matrix correspond to the check nodes in the graph, using j express. When the first check matrix j row number i If the column element is 1, then the first i variable node and the j There is a connected edge between check nodes.

[0056] C i representation and variable nodes i A collection of connected check nodes, R j Representation and checkpoints j A collection of connected variable nodes, C i \j Indicates except j outer and variable node i A collection of connected check nodes, R j \i Indicates except i A set of variable nodes connected to check nodes, L ( r ji ) means...

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Abstract

The invention relates to a mini-sum decoding correcting method based on linear minimum mean error estimation. The method comprises the steps of establishing a model on a check message amplitude by a linear minimum mean error estimation method, and accelerating the determination of an estimation parameter by a golden section search algorithm to enable the estimation value approach to the check message amplitude in an error back propagation (BP) method; and revising the estimation parameter by taking the influence of the iterative times on the estimation parameter into consideration. According to the mini-sum decoding correcting method, a fixed estimation parameter is applied to different signal to noise ratios, so as to ensure the decoding performance and to reduce the expense of the hardware; the low density parity check (LDPC) code is decoded after the estimation parameter is obtained. The method not only ensures an excellent decoding performance but guarantees a rapid calculation of the estimation parameter; and is low in decoding complexity and simple in implementation of the hardware.

Description

technical field [0001] The present invention relates to the technical field of LDPC encoding, in particular to a method based on linear minimum mean square error for terrestrial digital multimedia television broadcasting DTMB, second-generation satellite digital video broadcasting DVB-S2, IEEE802.11n, IEEE802.16e, CCSDS and other standards. Estimated modified min-sum decoding method. Background technique [0002] The general soft-decision decoding method of LDPC codes is based on the Belief Propagation (BP) algorithm, which improves the confidence by iterating external information between variable nodes and check nodes, so as to achieve the purpose of decoding. However, the operation of BP algorithm check node message processing is too complicated, and the hardware implementation cost is relatively large. The minimum sum algorithm is a simplification of the BP algorithm. In the message processing of the check node, the minimum value is used to replace the function operation...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03M13/11
Inventor 苏凯雄吴子静
Owner FUZHOU UNIV
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