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

• Main Authors: Al-Samman, A. M., Azmi, M. H., Rahman, T. A., Khan, I., Hindia, M. N., Fattouh, A.
• Format: Article
• Language: English
• Published: Public Library of Science 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/71889/1/MarwanHadriAzmi2016_WindowbasedChannelImpulseResponse.pdf; http://eprints.utm.my/id/eprint/71889/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006893006&doi=10.1371%2fjournal.pone.0164944&partnerID=40&md5=76611fb537bbdd21798a44652074e6ca

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.