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

A M Al-Samman, M H Azmi, T A Rahman, I Khan, M N Hindia and A Fattouh

PLOS ONE, 2016, vol. 11, issue 12, 1-16

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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0164944

DOI: 10.1371/journal.pone.0164944

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