Universiti Teknologi Malaysia Institutional Repository

Variable step-size l0-norm NLMS algorithm for sparse channel estimation

Nunoo, Solomon and Okonowo, Uche Kennedy and Ngah, Razali and Zahedi, Yasser K. (2014) Variable step-size l0-norm NLMS algorithm for sparse channel estimation. In: International Conference on IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2014, 28-30 Aug, 2014, Grand Inna Kuta HotelBali, Indonesia.

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Official URL: http://dx.doi.org/10.1109/APWiMob.2014.6920290

Abstract

Wireless communication systems often require accurate channel state information (CSI) at the receiver side. Typically, the CSI can be obtained from channel impulse response (CIR). Measurements have shown that the CIR of wideband channels are often sparse. To this end, the least mean square (LMS)-based algorithms have been used to estimate the CIR at the receiver side, which unfortunately is not able to accurately estimate sparse channels. In this paper, we propose a variable step-size l0-norm normalized LMS (NLMS) algorithm. The step-size is varied with respect to changes in the mean square error (MSE), allowing the filter to track changes in the system as well as produce smaller steady-state errors. We present simulation results and compare the performance of the new algorithm with the invariable step-size NLMS (ISS-NLMS), variable step-size NLMS (VSS-NLMS) and the invariable step-size l0-NLMS (ISS-l0-NLMS) algorithms. The results show that the proposed algorithm improves the identification of sparse systems.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:compressive sensing, sparse channel estimation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:67161
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:18 Jun 2017 07:00
Last Modified:11 Sep 2017 01:39

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