Blind Recognition Algorithm of TT&C Signals of Satellite Based on Fast-ICA Algorithm

被引：1

作者：

Le Wang ^{[1
]}

Zhang, Jingdan ^{[1
]}

机构：

[1] Shenzhen Inst Informat Technol, Dept Elect & Commun, Shenzhen 518172, Peoples R China

来源：

PROGRESS IN MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2014年 / 462-463卷

关键词：

Negentropy; sub-carrier; blind recognition; INDEPENDENT COMPONENT ANALYSIS; SEPARATION;

D O I：

10.4028/www.scientific.net/AMM.462-463.237

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A blind sub-carrier recognition algorithm of TT&C communication is proposed based on Negentropy-maximization in terms of recognition of TT&C signals for military TT&C communication information scout. First, the basic principle of the ICA is discussed in this paper. Using maximum Negentropy approximation of differential Negentropy, an objective function for ICA is introduced and a Fast-ICA algorithm based on maximum Negentropy is presented. Based on analyzing Fast-ICA algorithm deeply, this paper expounds a new method to adopt it in the recognition of TT&C signals of satellite. Simulation results in MATLAB show its better performance and efficiency in the mixed TT&C signals of satellite recognition, proving its good convergence and robust.

引用

页码：237 / 242

页数：6

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