Universiti Teknologi Malaysia Institutional Repository

On the sparsity-aware partial-update NLMS algorithms for UWB channel estimation

Nunoo, S. and Ngah, R. and Chude-Okonkwo, U. A. K. and Elijah, O. and Orikumhi, I. and Leow, C. Y. (2016) On the sparsity-aware partial-update NLMS algorithms for UWB channel estimation. In: 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015, 19-21 Oct 2015, Kuala Lumpur, Malaysia.

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Abstract

Partial updating of filter coefficients is an effective method for reducing computational load and power consumption in adaptive filter implementation. In this paper, we present a class of MMax partial update NLMS algorithms suitable for estimating UWB channels, whose characteristics have shown to vary between highly sparse and dense depending on the channel environment under consideration and the measured bandwidth. Simulation results show improved performance of the proposed algorithms in terms of convergence speed, and computational complexity.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:compressive sensing, NLMS algorithm, sparse channel estimation, ultra wideband
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:73377
Deposited By: Mohd Zulaihi Zainudin
Deposited On:21 Nov 2017 08:17
Last Modified:21 Nov 2017 08:17

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