Coding method of low density oven odd check code

A low-density parity and coding method technology, applied in the coding of low-density parity-check codes and the field of broadband wireless multimedia communications, can solve the problem that the coding parameters are not flexible enough to change, the construction method of the sparse parity-check matrix H is not given, and the Algebraic Construction Methods of Regular LDPC Codes and Other Issues

Inactive Publication Date: 2006-03-29
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Some representative research results on the algebraic construction method of H matrix are as follows: 1) MacKay, the rediscoverer of LDPC codes, proposed a method of searching random rule LDPC codes by computer, and randomly generated H matrix without 4-line cycle. The code rate is 1/2, and the code length is greater than 10 4 , the performance is about 1.5dB away from the Shannon limit. He did not propose an algebraic construction method for regular LDPC codes. Random codes have only theoretical research value and no practical application value; 2) Yu Kou and Heng Tang proposed LDPC codes based on finite geometry , Bane Vasic and Bassem Ammar proposed to use the branch of combinatorics - Balanced Incomplete Block Design (BIBD) to construct LDPC codes. The disadvantage of these two types of algebraic structure LDPC codes is that the change of coding parameters is not flexible enough. Given the value of the code length and code rate, then construct the H matrix, but first construct the H matrix according to the algorithm rules, and then determine the code parameters according to the H matrix. The code parameters determined in this way are difficult to be compatible with th

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  • Coding method of low density oven odd check code
  • Coding method of low density oven odd check code
  • Coding method of low density oven odd check code

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[0079] This example takes the code parameter R=1 / 2 and N=192 of the mobile communication standard CDMA2000 as an example, and provides a specific implementation method of an LDPC code encoder based on an arithmetic sequence. For a code rate of 1 / 2, the check digit and The information bits are equal, that is, M=K=192 / 2=96, H d The value of column weight and row weight of matrix is ​​also equal, can take 3,4,5 and 6, get q=t=4 here, so obtain the dimension number u=96 / 4=24 of D matrix, encoder The input is the information sequence c d ={d j, j=1, 2,...96}, the output of the encoder is the code sequence c={c l , l=1, 2, . . . 192}.

[0080] The code parameters R and N can be adaptively selected according to the channel state feedback information and the input information sequence, and the structural parameters q, t and u are calculated according to the determined values ​​of the code parameters R and N. The realization algorithm of each matrix block in the encoder is as follow...

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Abstract

This invention discloses an encoding method for a low density odd-even check code including: 1, determining code rate R and a code length N and computing the check bit length M, 2, constructing the H to the power p matrix of MxM, 3, determining the structure parameter line weight t of the H to the power d, rank weight q and a sub-matrix dimension u, 4, utilizing the arithmetic sequence to comprise the vector v to constitute matrix D finally, 5, the D matrix and a group of its orthogonal D matrix group constitute matrix H to the power d, 6, evaluating the code sequence c and construct the H matrix, H=H to the power p:H to the power d.

Description

technical field [0001] The invention belongs to the technical field of information theory channel coding, and specifically relates to a coding method of a low-density parity check (LDPC) code. The invention is compatible with 3G mobile communication standards and is mainly used for broadband wireless multimedia communication. Background technique [0002] In the more than 50 years since Shannon established information theory, channel coding theory has been widely used in many fields such as deep space communication and satellite communication, data transmission, data storage, mobile communication, file delivery and digital audio and video transmission. And thus produced five types of standards, namely, space data system coding standards for deep space and satellite communications, trellis coding standards for high-speed data modulation and demodulation, RS coding standards for disk compression storage systems, mobile cellular Communication coding standard, CRC coding standar...

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Application Information

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IPC IPC(8): H03M13/11H03M13/19H04L1/00
Inventor 彭立朱光喜
Owner HUAZHONG UNIV OF SCI & TECH
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