SNR Estimation for M-ARY Non-Coherent Frequency Shift Keying Systems

被引：21

作者：

Hassan, Syed Ali ^{[1
]}

Ingram, Mary Ann ^{[1
]}

机构：

[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

IEEE TRANSACTIONS ON COMMUNICATIONS | 2011年 / 59卷 / 10期

基金：

美国国家科学基金会;

关键词：

Wireless communications; SNR estimation; non-coherent MFSK; basis for cooperator selection; TO-NOISE RATIO; FADING CHANNELS; SIGNALS;

D O I：

10.1109/TCOMM.2011.080111.090627

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 considers how to estimate the average signal-to-noise ratio (SNR) for a communication system employing orthogonal non-coherent M-ARY frequency shift keying (NCMFSK), in white Gaussian noise (AWGN) and over both symbol-by-symbol fading channels and block fading channels. The proposed algorithm finds its application in a variety of applications including a cooperative transmission system, which is the main motivation behind this study. The maximum likelihood estimator and one using data statistics have been derived and simulated for various scenarios including data-aided, non-data aided and joint estimation using both the data and pilot sequences. We also derive the Cramer-Rao bound for the estimators in the case of Rayleigh fading channels. The results show that for a particular region of interest (e.g. high SNR or low SNR) and depending upon the availability of pilot sequence, a particular SNR estimation scheme is suitable.

引用

页码：2786 / 2795

页数：10

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