A Weighted OMP Algorithm for Compressive UWB Channel Estimation

Guo Zhu Li; De Qiang Wang; Zi Kai Zhang; Zhi Yong Li

doi:10.4028/www.scientific.net/AMM.392.852

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 392A Weighted OMP Algorithm for Compressive UWB...

A Weighted OMP Algorithm for Compressive UWB Channel Estimation

Abstract:

We investigate ultra-wideband (UWB) channel estimation based on compressive sampling (CS), where the orthogonal matching pursuit (OMP) algorithm is employed to recover the channel waveform from noisy measurements. In order to boost the robustness of OMP in the presence of additive Gaussian noise (AWGN), we propose a weighted OMP (WOMP) algorithm. For a given sparse dictionary, weighting factors are assigned to the atoms and a weighted matching process is performed by WOMP. Simulation results show that the proposed WOMP is more robust than the original OMP and can be used to gain better channel estimation precision.

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Periodical:

Applied Mechanics and Materials (Volume 392)

Pages:

852-856

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.392.852

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Online since:

September 2013

Authors:

Guo Zhu Li, De Qiang Wang, Zi Kai Zhang, Zhi Yong Li

Keywords:

Channel Estimation, Compressive Sampling, Ultra-Wideband, Weighted Orthogonal Matching Pursuit

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