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...
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| Format: | Article |
| Language: | English |
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Public Library of Science
2016
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| Online Access: | http://eprints.utm.my/71889/1/MarwanHadriAzmi2016_WindowbasedChannelImpulseResponse.pdf |
| _version_ | 1796861843588775936 |
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| 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. |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T20:02:33Z |
| format | Article |
| id | utm.eprints-71889 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:02:33Z |
| publishDate | 2016 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | utm.eprints-718892017-11-26T03:37:04Z http://eprints.utm.my/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/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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/71889/1/MarwanHadriAzmi2016_WindowbasedChannelImpulseResponse.pdf |
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