Nonlinear geometric feature equalizers based on minimum bit error rate criterion for EBPSK communications

被引：0

作者：

Zhu Renxiang ^{[1
]}

Wu Lenan ^{[1
]}

机构：

[1] SE Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China

来源：

SECOND INTERNATIONAL CONFERENCE ON SPACE INFORMATION TECHNOLOGY, PTS 1-3 | 2007年 / 6795卷

关键词：

communication signal processing; nonlinear filter; geometric feature equalizer;

D O I：

10.1117/12.773760

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

A novel nonlinear geometric feature equalizer based on minimum bit error rate is proposed in this paper for the filtering of noise and interference whose frequency band overlaps with the desired signal in extended binary phase shifting keying communications. Considering that the desired signal and the interference have different stochastic characters in feature space, the proposed equalization algorithm recovers the desired signal by neural network. Simulation results show that when extended binary phase shifting keying signals are contaminated by relatively strong interference, geometric feature equalizers can provide very low bit error rate. This will provide an alternate filter used for extended binary phase shifting keying communications and also for deep-space communications etc.

引用

页数：6

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