Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel

In design of adaptive orthogonal frequency division multiplexing (OFDM) transmission, Signal-to-Noise Ratio (SNR) is well-known to be an informative performance measures. Channel impairments, specifically in wireless communication degrade the performance of accurate SNR measurement and said problem...

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Main Authors: Khan, A.M., Jeoti, V., Azman Zakariya, M.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.26307 /
Published: Springer Verlag 2015
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915745440&doi=10.1007%2f978-3-319-07674-4_18&partnerID=40&md5=dc8d7bb2405d7e5b83c6c67f8828ae26
http://eprints.utp.edu.my/26307/
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spelling utp-eprints.263072021-08-30T07:06:58Z Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel Khan, A.M. Jeoti, V. Azman Zakariya, M. In design of adaptive orthogonal frequency division multiplexing (OFDM) transmission, Signal-to-Noise Ratio (SNR) is well-known to be an informative performance measures. Channel impairments, specifically in wireless communication degrade the performance of accurate SNR measurement and said problem becomes more serious in low SNR regime. As a result it reduces the performance of adaptive transmission in OFDM systems. To alleviate this problem we develop a pilot based Pre FFT (time domain) Signal-to-Noise Ratio (SNR) estimator in the presence of frequency selective Rayleigh fading channel. A novel time domain SNR estimation technique is proposed that accurately measures the Signal-to-Noise Ratio in low SNR regime, where signal plus noise power is evaluated by using autocorrelation of received signal and signal power is indirectly estimated from pilot power using cross correlation. Simulation results show that proposed method has very less bias and very close to the actual SNR values. © Springer International Publishing Switzerland 2015. Springer Verlag 2015 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915745440&doi=10.1007%2f978-3-319-07674-4_18&partnerID=40&md5=dc8d7bb2405d7e5b83c6c67f8828ae26 Khan, A.M. and Jeoti, V. and Azman Zakariya, M. (2015) Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel. Lecture Notes in Electrical Engineering, 315 . pp. 171-182. http://eprints.utp.edu.my/26307/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description In design of adaptive orthogonal frequency division multiplexing (OFDM) transmission, Signal-to-Noise Ratio (SNR) is well-known to be an informative performance measures. Channel impairments, specifically in wireless communication degrade the performance of accurate SNR measurement and said problem becomes more serious in low SNR regime. As a result it reduces the performance of adaptive transmission in OFDM systems. To alleviate this problem we develop a pilot based Pre FFT (time domain) Signal-to-Noise Ratio (SNR) estimator in the presence of frequency selective Rayleigh fading channel. A novel time domain SNR estimation technique is proposed that accurately measures the Signal-to-Noise Ratio in low SNR regime, where signal plus noise power is evaluated by using autocorrelation of received signal and signal power is indirectly estimated from pilot power using cross correlation. Simulation results show that proposed method has very less bias and very close to the actual SNR values. © Springer International Publishing Switzerland 2015.
format Article
author Khan, A.M.
Jeoti, V.
Azman Zakariya, M.
spellingShingle Khan, A.M.
Jeoti, V.
Azman Zakariya, M.
Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel
author_sort Khan, A.M.
title Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel
title_short Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel
title_full Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel
title_fullStr Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel
title_full_unstemmed Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel
title_sort pilot based pre fft signal to noise ratio estimation for ofdm systems in rayleigh-fading channel
publisher Springer Verlag
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915745440&doi=10.1007%2f978-3-319-07674-4_18&partnerID=40&md5=dc8d7bb2405d7e5b83c6c67f8828ae26
http://eprints.utp.edu.my/26307/
_version_ 1741197117303554048
score 11.62408

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