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

Solomon Nunoo; Uche A.K. Chude-Okonkwo; Razali Ngah; Yasser K. Zahedi

doi:10.1109/APWiMob.2014.6920290

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

Solomon Nunoo, Uche A.K. Chude-Okonkwo, Razali Ngah, Yasser K. Zahedi

Universiti Teknologi Malaysia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings, APWiMob 2014
Subtitle of host publication	IEEE Asia Pacific Conference on Wireless and Mobile 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	88-91
Number of pages	4
ISBN (Electronic)	9781479937110
DOIs	https://doi.org/10.1109/APWiMob.2014.6920290
Publication status	Published - 10 Oct 2014
Externally published	Yes
Event	2014 International Conference on IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2014 - Bali, Indonesia Duration: 28 Aug 2014 → 30 Aug 2014

Publication series

Name	Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014

Conference

Conference	2014 International Conference on IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2014
Country/Territory	Indonesia
City	Bali
Period	28/08/14 → 30/08/14

Keywords

NLMS
compressive sensing
sparse channel estimation
variable step-size adaptation

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Software

Access to Document

10.1109/APWiMob.2014.6920290

Cite this

Nunoo, S., Chude-Okonkwo, U. A. K., Ngah, R., & Zahedi, Y. K. (2014). Variable step-size l₀-norm NLMS algorithm for sparse channel estimation. In Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014 (pp. 88-91). Article 6920290 (Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APWiMob.2014.6920290

Nunoo, Solomon ; Chude-Okonkwo, Uche A.K. ; Ngah, Razali et al. / Variable step-size l₀-norm NLMS algorithm for sparse channel estimation. Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 88-91 (Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014).

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title = "Variable step-size l0-norm NLMS algorithm for sparse channel estimation",

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.",

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Nunoo, S, Chude-Okonkwo, UAK, Ngah, R & Zahedi, YK 2014, Variable step-size l₀-norm NLMS algorithm for sparse channel estimation. in Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014., 6920290, Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014, Institute of Electrical and Electronics Engineers Inc., pp. 88-91, 2014 International Conference on IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2014, Bali, Indonesia, 28/08/14. https://doi.org/10.1109/APWiMob.2014.6920290

Variable step-size l₀-norm NLMS algorithm for sparse channel estimation. / Nunoo, Solomon; Chude-Okonkwo, Uche A.K.; Ngah, Razali et al.
Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 88-91 6920290 (Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Nunoo S, Chude-Okonkwo UAK, Ngah R, Zahedi YK. Variable step-size l₀-norm NLMS algorithm for sparse channel estimation. In Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 88-91. 6920290. (Proceedings, APWiMob 2014: IEEE Asia Pacific Conference on Wireless and Mobile 2014). doi: 10.1109/APWiMob.2014.6920290