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Window-Based Channel Impulse Response Prediction for Time-Varying Ultra-Wideband Channels

Authors:

A. M. Al-Samman , M. H. Azmi , Tharek Abd Rahman , I. A. Khan , M. N. Hindia , Anas Fattouh

Publication Type:

Journal article

Venue:

PLOS ONE

DOI:

https://doi.org/10.1371/journal.pone.0164944


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.

Bibtex

@article{Al-Samman5971,
author = {A. M. Al-Samman and M. H. Azmi and Tharek Abd Rahman and I. A. Khan and M. N. Hindia and Anas Fattouh},
title = {Window-Based Channel Impulse Response Prediction for Time-Varying Ultra-Wideband Channels},
volume = {9},
number = {1},
month = {December},
year = {2016},
journal = {PLOS ONE},
url = {http://www.es.mdh.se/publications/5971-}
}