Performance Comparison of Adaptive Algorithms for Non-Linear Channel Equalizer

被引：0

作者：

Singh, Akhand Pratap ^{[1
]}

Chandra, Mahesh ^{[1
]}

Kar, Asutosh ^{[2
]}

机构：

[1] Birla Inst Technol, Elect & Commun Engn Dept, Ranchi 835215, Jharkhand, India

[2] IIIT Bhubaneswar, Elect & Telecommun Engn Dept, Bhubaneswar 751003, Orissa, India

来源：

2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, SIGNALS, COMMUNICATION AND OPTIMIZATION (EESCO) | 2015年

关键词：

Adaptive filter; Equalizer; Probability of error; Mean square error; Non linear channel;

D O I：

暂无

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：

In this paper idea of adaptive channel equalization is discussed to deal with the problem of degrading effects of transmission channel. The use of equalization and adaptive signal processing finds a major role in today's communication system models. The time varying characteristics of non-linear communication channel causes different problems such as intersymbol interference and multi-path propagation which restricts higher data rate transmission systems. To overcome the effect of non linear behavior of channel, number of algorithms have been proposed in the last two decade, such as least mean square (LMS), recursive least square (RLS) and normalized least mean square (NLMS). For all of these algorithms a technical review has been done based on mean square error and probability of error. Result shows that the RLS algorithm outperformed LMS and NLMS algorithm for channel equalization problem.

引用

页数：4

共 8 条

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