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