Bayesian Cramer-Rao bounds for complex gain parameters estimation of slowly varying Rayleigh channel in OFDM systems

被引：18

作者：

Hijazi, Hussein ^{[1
]}

Ros, Laurent ^{[1
]}

机构：

[1] GIPSA Lab, Image & Signal Dept, F-38402 St Martin Dheres, France

来源：

SIGNAL PROCESSING | 2009年 / 89卷 / 01期

关键词：

Bayesian Cramer-Rao bound; OFDM; Rayleigh complex gains;

D O I：

10.1016/j.sigpro.2008.07.017

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：

This paper deals with on-line Bayesian Cramer-Rao (BCRB) lower bound for complex gains dynamic estimation of time-varying multi-path Rayleigh channels. We propose three novel lower bounds for 4-QAM OFDM systems in case of negligible channel variation within one symbol, and assuming both channel delay and Doppler frequency related information. We derive the true BCRB for data-aided (DA) context and, two closed-form expressions for non-data-aided (NDA) context. (C) 2008 Published by Elsevier B.V.

引用

页码：111 / 115

页数：5

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