Blind Recognition of (n, k, m) Convolutional Code Based on Local Decision in a Noisy Environment

被引：0

作者：

Wang Yao ^{[1
]}

Wang Feng-hua ^{[1
]}

Huang Zhi-tao ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Elect Sci & Engn, Changsha 410073, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING | 2015年 / 124卷

关键词：

Noisy environment; Convolution Code; Blind Recognition;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper consider the problem of recognition of (n, k, m) convolutional code from a corrupted bit stream in a reverse-engineering communication system. A new method based on the properties of convolutional encoders and local decision was proposed, which can construct any rate k/n convolutional encoders blindly. Because of the effective utilization of the mathematical properties, this approach presented requires small amount of received bit stream. The validity of algorithm is verified by the simulation result, and the performance is proved to be optimal.

引用

页码：554 / 559

页数：6

共 9 条

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