VP-FLMS: A Novel Variable Power Fractional LMS Algorithm

Shujaat Khan; Muhammad Usman; Imran Naseem; Roberto Togneri; Mohammed Bennamoun

doi:10.1109/ICUFN.2017.7993796

VP-FLMS: A Novel Variable Power Fractional LMS Algorithm

Shujaat Khan
, Muhammad Usman
, Imran Naseem
, Roberto Togneri
, Mohammed Bennamoun

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

11 Scopus citations

Abstract

In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm using the concept of instantaneous error energy. The proposed algorithm named variable power-FLMS (VP-FLMS) is computationally less expensive and dynamically adapts the fractional power of the FLMS to achieve a high convergence rate with a low steady state error. For the evaluation purpose, the problems of channel estimation and channel equalization are considered. The experiments clearly show that the proposed approach achieves better convergence rate and lower steady-state error compared to the FLMS.

Original language	English
Title of host publication	ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
Publisher	IEEE Computer Society
Pages	290-295
Number of pages	6
ISBN (Electronic)	9781509047499
DOIs	https://doi.org/10.1109/ICUFN.2017.7993796
State	Published - 26 Jul 2017
Externally published	Yes
Event	9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy Duration: 4 Jul 2017 → 7 Jul 2017

Publication series

Name	International Conference on Ubiquitous and Future Networks, ICUFN
ISSN (Print)	2165-8528
ISSN (Electronic)	2165-8536

Conference

Conference	9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
Country/Territory	Italy
City	Milan
Period	4/07/17 → 7/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Channel equalization
Channel estimation
Fractional calculus
Least mean square (LMS)
Variable step size (VSS)

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture

Access to Document

10.1109/ICUFN.2017.7993796

Cite this

Khan, S., Usman, M., Naseem, I., Togneri, R., & Bennamoun, M. (2017). VP-FLMS: A Novel Variable Power Fractional LMS Algorithm. In ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks (pp. 290-295). Article 7993796 (International Conference on Ubiquitous and Future Networks, ICUFN). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2017.7993796

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title = "VP-FLMS: A Novel Variable Power Fractional LMS Algorithm",

abstract = "In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm using the concept of instantaneous error energy. The proposed algorithm named variable power-FLMS (VP-FLMS) is computationally less expensive and dynamically adapts the fractional power of the FLMS to achieve a high convergence rate with a low steady state error. For the evaluation purpose, the problems of channel estimation and channel equalization are considered. The experiments clearly show that the proposed approach achieves better convergence rate and lower steady-state error compared to the FLMS.",

keywords = "Channel equalization, Channel estimation, Fractional calculus, Least mean square (LMS), Variable step size (VSS)",

author = "Shujaat Khan and Muhammad Usman and Imran Naseem and Roberto Togneri and Mohammed Bennamoun",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 ; Conference date: 04-07-2017 Through 07-07-2017",

year = "2017",

month = jul,

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doi = "10.1109/ICUFN.2017.7993796",

language = "English",

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Khan, S, Usman, M, Naseem, I, Togneri, R & Bennamoun, M 2017, VP-FLMS: A Novel Variable Power Fractional LMS Algorithm. in ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks., 7993796, International Conference on Ubiquitous and Future Networks, ICUFN, IEEE Computer Society, pp. 290-295, 9th International Conference on Ubiquitous and Future Networks, ICUFN 2017, Milan, Italy, 4/07/17. https://doi.org/10.1109/ICUFN.2017.7993796

VP-FLMS: A Novel Variable Power Fractional LMS Algorithm. / Khan, Shujaat; Usman, Muhammad; Naseem, Imran et al.
ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2017. p. 290-295 7993796 (International Conference on Ubiquitous and Future Networks, ICUFN).

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

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AU - Khan, Shujaat

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AU - Bennamoun, Mohammed

PY - 2017/7/26

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N2 - In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm using the concept of instantaneous error energy. The proposed algorithm named variable power-FLMS (VP-FLMS) is computationally less expensive and dynamically adapts the fractional power of the FLMS to achieve a high convergence rate with a low steady state error. For the evaluation purpose, the problems of channel estimation and channel equalization are considered. The experiments clearly show that the proposed approach achieves better convergence rate and lower steady-state error compared to the FLMS.

AB - In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm using the concept of instantaneous error energy. The proposed algorithm named variable power-FLMS (VP-FLMS) is computationally less expensive and dynamically adapts the fractional power of the FLMS to achieve a high convergence rate with a low steady state error. For the evaluation purpose, the problems of channel estimation and channel equalization are considered. The experiments clearly show that the proposed approach achieves better convergence rate and lower steady-state error compared to the FLMS.

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KW - Channel estimation

KW - Fractional calculus

KW - Least mean square (LMS)

KW - Variable step size (VSS)

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M3 - Conference contribution

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BT - ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks

PB - IEEE Computer Society

Y2 - 4 July 2017 through 7 July 2017

ER -

VP-FLMS: A Novel Variable Power Fractional LMS Algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this