eprintid: 6424
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/64/24
datestamp: 2023-11-09 16:18:12
lastmod: 2023-11-09 16:18:12
status_changed: 2023-11-09 16:06:01
type: article
metadata_visibility: show
creators_name: Khan, A.M.
creators_name: Jeoti, V.
creators_name: Azman Zakariya, M.
title: Pilot based pre FFT signal to noise ratio estimation for OFDM systems in Rayleigh-fading channel
ispublished: pub
keywords: Fading channels; Fast Fourier transforms; Frequency estimation; Frequency selective fading; Orthogonal frequency division multiplexing; Rayleigh fading; Time domain analysis; Wireless telecommunication systems, Adaptive transmission; Channel impairment; Frequency selective Rayleigh fading channels; Performance measure; Rayleigh-fading channel; Signal to noise ratio estimation; Signaltonoise ratio (SNR); Wireless communications, Signal to noise ratio
note: cited By 2; Conference of 1st International Conference on Communication and Computer Engineering, ICOCOE 2014 ; Conference Date: 20 May 2014 Through 21 May 2014; Conference Code:111229
abstract: 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.
date: 2015
publisher: Springer Verlag
official_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
id_number: 10.1007/978-3-319-07674-4₁₈
full_text_status: none
publication: Lecture Notes in Electrical Engineering
volume: 315
pagerange: 171-182
refereed: TRUE
isbn: 9783319076737
issn: 18761100
citation:   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.  ISSN 18761100