title: Window-Based Channel Impulse Response Prediction for Time-Varying Ultra-Wideband Channels.
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.
authors.affiliation: Department Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia.
authors.forename: A M
authors.initials: AM
authors.lastname: Al-Samman
authors.affiliation: Department Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia.
authors.forename: M H
authors.initials: MH
authors.lastname: Azmi
authors.affiliation: Department Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia.
authors.forename: T A
authors.initials: TA
authors.lastname: Rahman
authors.affiliation: Department of Electrical Engineering, Islamic University Madinah, Madinah, Saudi Arabia.
authors.forename: I
authors.initials: I
authors.lastname: Khan
authors.affiliation: Department Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, Johor, Malaysia.
authors.forename: M N
authors.initials: MN
authors.lastname: Hindia
authors.affiliation: Department of Computer Sciences, Faculty of Computing and Information Technology, King Abdulaziz University (KAU), Jeddah, Saudi Arabia.
authors.forename: A
authors.initials: A
authors.lastname: Fattouh
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D013995:Time; D059015:Wireless Technology