Moment-based SNR estimation over linearly-modulated wireless SIMO channels

In this paper, we develop a new method for signal-to-noise ratio (SNR) estimation when multiple antenna elements receive linearly-modulated signals in complex additive white Gaussian noise (AWGN) spatially uncorrelated between the antenna elements. We also derive extensions of other existing moment-...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2010-02, Vol.9 (2), p.714-722
Main Authors: Stephenne, A., Bellili, F., Affes, S.
Format: Article
Language:English
Subjects:
Additive white noise
Antennas
Applied sciences
AWGN
Channels
Codes
Computer simulation
estimation
Estimators
Exact sciences and technology
Fading
flat fading
Gaussian
Information, signal and communications theory
linear modulations
Maximum likelihood estimation
Modulation
Modulation, demodulation
Monte Carlo methods
Noise
non-data-aided
QAM
Quadrature amplitude modulation
Radio communication
Radiocommunications
Receiving antennas
Root mean square
Signal and communications theory
Signal to noise ratio
SIMO
SNR
Studies
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Wireless communication
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Summary:In this paper, we develop a new method for signal-to-noise ratio (SNR) estimation when multiple antenna elements receive linearly-modulated signals in complex additive white Gaussian noise (AWGN) spatially uncorrelated between the antenna elements. We also derive extensions of other existing moment-based SNR estimators to the single-input multiple-output (SIMO) configuration. The new SIMO SNR estimation technique is non-data-aided (NDA) since it is a moment-based method and does not rely, therefore, on the a priori knowledge or detection of the transmitted symbols; it does not require the a priori knowledge of the modulation type or order. The new method is shown by Monte Carlo simulations to clearly outperform the best NDA moment-based SNR estimation methods in terms of normalized root mean square error (NRMSE) over QAM-modulated transmissions, namely the M 2 M 4 method and the estimators referred to, in this paper, as the GT and the M 6 methods, even when we extend them to the SIMO configuration.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2010.02.081719