Universiti Teknologi Malaysia Institutional Repository

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

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

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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.

Item Type:Article
Uncontrolled Keywords:algorithm, Article, computer analysis, computer prediction, intermethod comparison, mathematical analysis, mathematical model, recursive least square algorithm, time varying ultra wideband channel, window based channel impulse response, wireless communication, computer simulation, human, time, Algorithms, Computer Simulation, Humans, Time, Wireless Technology
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:71889
Deposited By: Fazli Masari
Deposited On:26 Nov 2017 03:37
Last Modified:26 Nov 2017 03:37

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