DocumentCode :
3246666
Title :
Moment-Based SNR Estimation for SIMO Wireless Communication Systems Using Arbitrary QAM
Author :
Stéphenne, Alex ; Bellili, Faouzi ; Affes, Sofiéne
Author_Institution :
NRS-EMT, Montreal
fYear :
2007
fDate :
4-7 Nov. 2007
Firstpage :
601
Lastpage :
605
Abstract :
A new method for signal-to-noise ratio (SNR) estimation is considered when multiple receiving antenna elements receive quadrature amplitude modulation (QAM) signals in complex additive white Gaussian noise (AWGN) spatially and temporally white (uncorrelated between antenna elements). In this paper, we also present the extension of other existing methods to the single input multiple output (SIMO) configuration. The procedure is non-data-aided (NDA) since it is a moment- based method and does not require, therefore, the a priori knowledge or the detection of the transmitted symbols. Monte Carlo simulations are used to estimate the normalized root mean square error (NRMSE) as a measure of performance. The new method is shown to outperform the best NDA moment-based SNR estimation methods, namely the M2M4 and Gao´s methods even when they are extended to the SIMO configuration.
Keywords :
AWGN; Monte Carlo methods; mean square error methods; multifrequency antennas; quadrature amplitude modulation; radio networks; Gaos methods; Monte Carlo simulations; SIMO wireless communication systems; additive white gaussian noise; arbitrary QAM; moment-based SNR estimation; multiple receiving antenna elements; quadrature amplitude modulation; root mean square error; signal to noise ratio; single input multiple output configuration; AWGN; Additive white noise; Amplitude estimation; Antenna accessories; Antennas and propagation; Gaussian noise; Quadrature amplitude modulation; Receiving antennas; Signal to noise ratio; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4244-2109-1
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2007.4487284
Filename :
4487284
Link To Document :
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