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

Author

Listed:
  • A M Al-Samman
  • M H Azmi
  • T A Rahman
  • I Khan
  • M N Hindia
  • A Fattouh

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.

Suggested Citation

  • A M Al-Samman & M H Azmi & T A Rahman & I Khan & M N Hindia & A Fattouh, 2016. "Window-Based Channel Impulse Response Prediction for Time-Varying Ultra-Wideband Channels," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-16, December.
  • Handle: RePEc:plo:pone00:0164944
    DOI: 10.1371/journal.pone.0164944
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    References listed on IDEAS

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    1. S Chitra & N Kumaratharan, 2015. "Intercarrier Interference Reduction in MC-CDMA System through Second Order Duobinary Coded Phase Rotated Conjugate Cancellation Scheme," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-14, March.
    2. Yuanfu Mo & Dexin Yu & Jun Song & Kun Zheng & Yajuan Guo, 2015. "A Beacon Transmission Power Control Algorithm Based on Wireless Channel Load Forecasting in VANETs," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-17, November.
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