Globally convergent deflationary instantaneous blind source separation algorithm for digital communication signals

被引：17

作者：

Erdogan, Alper Tunga ^{[1
]}

机构：

[1] Koc Univ, Dept Elect & Elect Engn, TR-34450 Istanbul, Turkey

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2007年 / 55卷 / 05期

关键词：

adaptive filtering; blind source separation (BSS); independent component analysis; multiple-in multiple-out (MIMO) blind equalization; subgradient;

D O I：

10.1109/TSP.2007.893214

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recently an instantaneous blind source separation (BSS) approach that exploits the bounded magnitude structure of digital communications signals has been introduced. In this paper, we introduce a deflationary adaptive algorithm based on this criterion and provide its convergence analysis. We show that the resulting algorithm is convergent to one of the globally optimal points that correspond to perfect separation. The simulation examples related to the separation of digital communication signals are provided to illustrate the convergence and the performance of the algorithm.

引用

页码：2182 / 2192

页数：11

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