Blind identification method for (n, 1 and m) convolutional code with error codes

Abstract

A blind identification method for an (n, 1 and m) convolutional code with error codes belongs to the technical field of blind identification of channel codes and comprises the following steps: after to-be-identified data is read by a computer, an identification matrix is established; row simplification is performed to the matrix through the method of gaussian elimination; the code length and the starting point are identified according to the simplification results; n paths of data are combined in pairs; the multinomials of a (2,1 and m) convolutional code are identified through a method of solving an equation set by a Hadamard matrix; and the result obtained through identification is updated to a final generator matrix according to the relation of the multinomials. The method has the advantages that storage of high-order Hadamard is simplified, the storage capacity of data in the operation process of a computer is reduced, the processing procedure of obtaining multinomials of the (n, 1 and m) convolutional code through the (2, 1 and m) convolutional code is introduced in detail, a parallel computing part is added, the treatment process of a program is accelerated, and the fault tolerance is good.

Description

technical field [0001] The invention relates to a blind recognition method of (n, 1, m) convolutional codes with error codes in a digital communication system, and belongs to the technical field of blind recognition of channel coding. Background technique [0002] Convolutional code is a typical error control coding method in channel coding. Its encoding and decoding method is simple, its error correction ability is strong, and it is relatively easy to implement, so it has been widely used. The application of convolutional code technology in the fields of electronic countermeasures and intelligent communication has made it a hot issue in the research of communication systems. [0003] Same as the general channel coding principle, for (n, 1, m) convolutional codes, the coding process can be expressed in the form of C=U G, where U represents the data to be coded, C represents the coded data, and G is the generation matrix of the convolutional code, and the blind identificatio...

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Problems solved by technology

[0005] For the deficiencies of the above methods, the present invention proposes a more general (n, 1, m) blind recognition method of error-coded convolutional codes to solve the storage problem of high-order Hadamard matrices and the specific code Blind recognition of convolutional codes with length 2 to obtain blind recognition method for convolutional codes with code length n

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