Joint blind equalization and decoding using particle filters

被引：1

作者：

Bordin, CJ ^{[1
]}

Baccalá, LA ^{[1
]}

机构：

[1] Univ Sao Paulo, Escola Politecn, BR-05508900 Sao Paulo, Brazil

来源：

PROCEEDINGS OF THE FOURTH IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY | 2004年

关键词：

particle filters; blind equalization; joint equalization and decoding;

D O I：

10.1109/ISSPIT.2004.1433674

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work examines how particle filtering algorithms - numerical techniques for solving Bayesian estimation problems - can be used for joint blind equalization and decoding of block-coded signals transmitted over frequency selective channels. Via simulations, we verify that the performance of the proposed method is much better than that of an equalization-only algorithm, outperforming the optimal linear equalizer at moderate noise levels at almost no additional computational cost.

引用

页码：1 / 4

页数：4

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