Cover Image

Window-based channel impulse response prediction for time-varying ultra-wideband channels

This work proposes channel impulse response (CIR) prediction for time-varying ultra-wideband (UWB) channels by exploiting the fast movement of channel taps within delay bins. Considering the sparsity of UWB channels, we introduce a window-based CIR (WB-CIR) to approximate the high temporal resolutio...

Full description

Saved in:
Bibliographic Details
Main Authors: Al-Samman, A. M., Azmi, M. H., Rahman, T. A., Khan, I., Hindia, M. N., Fattouh, A.
Format: Article
Language:English
Published: Public Library of Science 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/71889/1/MarwanHadriAzmi2016_WindowbasedChannelImpulseResponse.pdf
http://eprints.utm.my/id/eprint/71889/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006893006&doi=10.1371%2fjournal.pone.0164944&partnerID=40&md5=76611fb537bbdd21798a44652074e6ca
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.71889
record_format eprints
spelling my.utm.718892017-11-26T03:37:04Z http://eprints.utm.my/id/eprint/71889/ Window-based channel impulse response prediction for time-varying ultra-wideband channels Al-Samman, A. M. Azmi, M. H. Rahman, T. A. Khan, I. Hindia, M. N. Fattouh, A. TK Electrical engineering. Electronics Nuclear engineering This work proposes channel impulse response (CIR) prediction for time-varying ultra-wideband (UWB) channels by exploiting the fast movement of channel taps within delay bins. Considering the sparsity of UWB channels, we introduce a window-based CIR (WB-CIR) to approximate the high temporal resolutions of UWB channels. A recursive least square (RLS) algorithm is adopted to predict the time evolution of the WB-CIR. For predicting the future WB-CIR tap of window wk, three RLS filter coefficients are computed from the observed WB-CIRs of the left wk-1, the current wk and the right wk+1 windows. The filter coefficient with the lowest RLS error is used to predict the future WB-CIR tap. To evaluate our proposed prediction method, UWB CIRs are collected through measurement campaigns in outdoor environments considering line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios. Under similar computational complexity, our proposed method provides an improvement in prediction errors of approximately 80% for LOS and 63% for NLOS scenarios compared with a conventional method. Public Library of Science 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/71889/1/MarwanHadriAzmi2016_WindowbasedChannelImpulseResponse.pdf Al-Samman, A. M. and Azmi, M. H. and Rahman, T. A. and Khan, I. and Hindia, M. N. and Fattouh, A. (2016) Window-based channel impulse response prediction for time-varying ultra-wideband channels. PLoS ONE, 11 (12). ISSN 1932-6203 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006893006&doi=10.1371%2fjournal.pone.0164944&partnerID=40&md5=76611fb537bbdd21798a44652074e6ca
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Al-Samman, A. M.
Azmi, M. H.
Rahman, T. A.
Khan, I.
Hindia, M. N.
Fattouh, A.
Window-based channel impulse response prediction for time-varying ultra-wideband channels
description This work proposes channel impulse response (CIR) prediction for time-varying ultra-wideband (UWB) channels by exploiting the fast movement of channel taps within delay bins. Considering the sparsity of UWB channels, we introduce a window-based CIR (WB-CIR) to approximate the high temporal resolutions of UWB channels. A recursive least square (RLS) algorithm is adopted to predict the time evolution of the WB-CIR. For predicting the future WB-CIR tap of window wk, three RLS filter coefficients are computed from the observed WB-CIRs of the left wk-1, the current wk and the right wk+1 windows. The filter coefficient with the lowest RLS error is used to predict the future WB-CIR tap. To evaluate our proposed prediction method, UWB CIRs are collected through measurement campaigns in outdoor environments considering line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios. Under similar computational complexity, our proposed method provides an improvement in prediction errors of approximately 80% for LOS and 63% for NLOS scenarios compared with a conventional method.
format Article
author Al-Samman, A. M.
Azmi, M. H.
Rahman, T. A.
Khan, I.
Hindia, M. N.
Fattouh, A.
author_facet Al-Samman, A. M.
Azmi, M. H.
Rahman, T. A.
Khan, I.
Hindia, M. N.
Fattouh, A.
author_sort Al-Samman, A. M.
title Window-based channel impulse response prediction for time-varying ultra-wideband channels
title_short Window-based channel impulse response prediction for time-varying ultra-wideband channels
title_full Window-based channel impulse response prediction for time-varying ultra-wideband channels
title_fullStr Window-based channel impulse response prediction for time-varying ultra-wideband channels
title_full_unstemmed Window-based channel impulse response prediction for time-varying ultra-wideband channels
title_sort window-based channel impulse response prediction for time-varying ultra-wideband channels
publisher Public Library of Science
publishDate 2016
url http://eprints.utm.my/id/eprint/71889/1/MarwanHadriAzmi2016_WindowbasedChannelImpulseResponse.pdf
http://eprints.utm.my/id/eprint/71889/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006893006&doi=10.1371%2fjournal.pone.0164944&partnerID=40&md5=76611fb537bbdd21798a44652074e6ca
_version_ 1643656305855954944
score 13.211869

Similar Items