Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels

Additive White Gaussian Noise (AWGN) and Rayleigh fading severely degrade the performance of the wireless communication systems. Most of the wireless communication systems require knowledge of the channel Signal-to-Noise ratio. In this paper a few methods are proposed to estimate the SNR in the pres...

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Main Authors: Gopal, Lenin, Sim, M.L.
Other Authors: IEEE Communications Society Malaysia Chapter and IEEE LEOs Malaysia Chapter.
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers (IEEE) 2008
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/7247
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author Gopal, Lenin
Sim, M.L.
author2 IEEE Communications Society Malaysia Chapter and IEEE LEOs Malaysia Chapter.
author_facet IEEE Communications Society Malaysia Chapter and IEEE LEOs Malaysia Chapter.
Gopal, Lenin
Sim, M.L.
author_sort Gopal, Lenin
building Curtin Institutional Repository
collection Online Access
description Additive White Gaussian Noise (AWGN) and Rayleigh fading severely degrade the performance of the wireless communication systems. Most of the wireless communication systems require knowledge of the channel Signal-to-Noise ratio. In this paper a few methods are proposed to estimate the SNR in the presence of AWGN and Rayleigh fading. The mean square error (MSE) and root mean square error (RMSE) are used as performance measures. Simulation result shows that the newly proposed estimators mlfad can provide better performance in most circumstances under AWGN and Rayleigh fading channels.
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publishDate 2008
publisher Institute of Electrical and Electronics Engineers (IEEE)
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spelling curtin-20.500.11937-72472017-09-13T16:02:57Z Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels Gopal, Lenin Sim, M.L. IEEE Communications Society Malaysia Chapter and IEEE LEOs Malaysia Chapter. AWGN noise Estimation Signal-to-Noise Ratio (SNR) Rayleigh fading Additive White Gaussian Noise (AWGN) and Rayleigh fading severely degrade the performance of the wireless communication systems. Most of the wireless communication systems require knowledge of the channel Signal-to-Noise ratio. In this paper a few methods are proposed to estimate the SNR in the presence of AWGN and Rayleigh fading. The mean square error (MSE) and root mean square error (RMSE) are used as performance measures. Simulation result shows that the newly proposed estimators mlfad can provide better performance in most circumstances under AWGN and Rayleigh fading channels. 2008 Conference Paper http://hdl.handle.net/20.500.11937/7247 10.1109/NCTT.2008.4814291 Institute of Electrical and Electronics Engineers (IEEE) fulltext
spellingShingle AWGN noise
Estimation
Signal-to-Noise Ratio (SNR)
Rayleigh fading
Gopal, Lenin
Sim, M.L.
Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels
title Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels
title_full Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels
title_fullStr Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels
title_full_unstemmed Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels
title_short Performance analysis of signal-to-noise ratio estimators in AWGN and fading channels
title_sort performance analysis of signal-to-noise ratio estimators in awgn and fading channels
topic AWGN noise
Estimation
Signal-to-Noise Ratio (SNR)
Rayleigh fading
url http://hdl.handle.net/20.500.11937/7247