A deterministic blind separation approach based on GA for digital communication signals

被引：0

作者：

Wang, C ^{[1
]}

Huang, SH ^{[1
]}

Dai, XC ^{[1
]}

Xu, PX ^{[1
]}

机构：

[1] Univ Sci & Technol China, Dept EEIS, Hefei, Peoples R China

来源：

International Symposium on Communications and Information Technologies 2005, Vols 1 and 2, Proceedings | 2005年

关键词：

blind separation; determinist contrast; GA;

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：

A simple and effective blind approach is proposed for digital communication signals' separation task. By adopting deterministic contrasts, the general statistical independence assumption hold by conventional blind separation schemes is relaxed. Simplex Genetic Algorithm is applied in optimization procedure to avoid failing into local minima or saddle points, and could easily incorporate priori into fitness function to simplify optimization procedure. Moreover, GA based approach is a general framework and need little modification for different modulation mode, comparing with algebra or gradient based realizations. Presented simulations illustrate its effectiveness both in MIMO separation problem of correlated sources and blind STBC detection scheme.

引用

页码：478 / 481

页数：4

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