Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels

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

doi:10.1109/ICSIPA.2013.6708024

Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels

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

Universiti Teknologi Malaysia

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

3 Citations (Scopus)

Abstract

There has been extensive discussions on the performance of the LMS algorithm in nonstationary environment. In some instances its performance in such environments has been compared with that of other adaptive algorithms. However, most existing works treated in this respect focus on narrowband channels. In this paper, we investigate the performance of the LMS, NLMS and LMF algorithms in tracking time-varying ultra wideband (UWB) channels. Channel measurements were conducted for an indoor environment and the resultant channel impulse response is used in the analysis. The results show that the LMF and NLMS algorithms outperform the LMS algorithm in time-varying UWB channels with the NLMS providing the best performance.

Original language	English
Title of host publication	IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications
Publisher	IEEE Computer Society
Pages	312-316
Number of pages	5
ISBN (Print)	9781479902675
DOIs	https://doi.org/10.1109/ICSIPA.2013.6708024
Publication status	Published - 2013
Externally published	Yes
Event	2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013 - Melaka, Malaysia Duration: 8 Oct 2013 → 10 Oct 2013

Publication series

Name	IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications

Conference

Conference	2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013
Country/Territory	Malaysia
City	Melaka
Period	8/10/13 → 10/10/13

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition

Access to Document

10.1109/ICSIPA.2013.6708024

Cite this

Nunoo, S., Chude-Okonkwo, U. A. K., & Ngah, R. (2013). Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels. In IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications (pp. 312-316). Article 6708024 (IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications). IEEE Computer Society. https://doi.org/10.1109/ICSIPA.2013.6708024

Nunoo, Solomon ; Chude-Okonkwo, Uche A.K. ; Ngah, Razali. / Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels. IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society, 2013. pp. 312-316 (IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications).

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title = "Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels",

abstract = "There has been extensive discussions on the performance of the LMS algorithm in nonstationary environment. In some instances its performance in such environments has been compared with that of other adaptive algorithms. However, most existing works treated in this respect focus on narrowband channels. In this paper, we investigate the performance of the LMS, NLMS and LMF algorithms in tracking time-varying ultra wideband (UWB) channels. Channel measurements were conducted for an indoor environment and the resultant channel impulse response is used in the analysis. The results show that the LMF and NLMS algorithms outperform the LMS algorithm in time-varying UWB channels with the NLMS providing the best performance.",

author = "Solomon Nunoo and Chude-Okonkwo, {Uche A.K.} and Razali Ngah",

year = "2013",

doi = "10.1109/ICSIPA.2013.6708024",

language = "English",

isbn = "9781479902675",

series = "IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications",

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note = "2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013 ; Conference date: 08-10-2013 Through 10-10-2013",

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Nunoo, S, Chude-Okonkwo, UAK & Ngah, R 2013, Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels. in IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications., 6708024, IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications, IEEE Computer Society, pp. 312-316, 2013 3rd IEEE International Conference on Signal and Image Processing Applications, IEEE ICSIPA 2013, Melaka, Malaysia, 8/10/13. https://doi.org/10.1109/ICSIPA.2013.6708024

Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels. / Nunoo, Solomon; Chude-Okonkwo, Uche A.K.; Ngah, Razali.
IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society, 2013. p. 312-316 6708024 (IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications).

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

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AB - There has been extensive discussions on the performance of the LMS algorithm in nonstationary environment. In some instances its performance in such environments has been compared with that of other adaptive algorithms. However, most existing works treated in this respect focus on narrowband channels. In this paper, we investigate the performance of the LMS, NLMS and LMF algorithms in tracking time-varying ultra wideband (UWB) channels. Channel measurements were conducted for an indoor environment and the resultant channel impulse response is used in the analysis. The results show that the LMF and NLMS algorithms outperform the LMS algorithm in time-varying UWB channels with the NLMS providing the best performance.

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Nunoo S, Chude-Okonkwo UAK, Ngah R. Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels. In IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications. IEEE Computer Society. 2013. p. 312-316. 6708024. (IEEE ICSIPA 2013 - IEEE International Conference on Signal and Image Processing Applications). doi: 10.1109/ICSIPA.2013.6708024

Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels

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