RVP-FLMS: A robust variable power fractional LMS algorithm

Jawwad Ahmad; Muhammad Usman; Shujaat Khan; Imran Naseem; Hassan Jamil Syed

doi:10.1109/ICCSCE.2016.7893626

RVP-FLMS: A robust variable power fractional LMS algorithm

Jawwad Ahmad^*, Muhammad Usman, Shujaat Khan, Imran Naseem, Hassan Jamil Syed

^*Corresponding author for this work

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

22 Scopus citations

Abstract

In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm. The proposed algorithm named as robust variable power FLMS (RVP-FLMS) dynamically adapts the fractional power of the FLMS to achieve high convergence rate with low steady state error. For the evaluation purpose, the problems of system identification 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. The MATLAB code for the related simulation is available online at https://goo.gl/dGTGmP.

Original language	English
Title of host publication	Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	494-497
Number of pages	4
ISBN (Electronic)	9781509011780
DOIs	https://doi.org/10.1109/ICCSCE.2016.7893626
State	Published - 5 Apr 2017
Externally published	Yes
Event	6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016 - Batu Ferringhi, Penang, Malaysia Duration: 25 Nov 2016 → 27 Nov 2016

Publication series

Name	Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016

Conference

Conference	6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016
Country/Territory	Malaysia
City	Batu Ferringhi, Penang
Period	25/11/16 → 27/11/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Least mean square (LMS)
adaptive filter
channel equalization
fractional LMS (FLMS)
fractional calculus
high convergence
low steady state error
plant identification
robust variable power FLMS (RVP-FLMS)
robust variable step size (RVSS)

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Control and Systems Engineering
Mechanical Engineering
Control and Optimization

Access to Document

10.1109/ICCSCE.2016.7893626

Cite this

Ahmad, J., Usman, M., Khan, S., Naseem, I., & Syed, H. J. (2017). RVP-FLMS: A robust variable power fractional LMS algorithm. In Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016 (pp. 494-497). Article 7893626 (Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2016.7893626

Ahmad, Jawwad ; Usman, Muhammad ; Khan, Shujaat et al. / RVP-FLMS : A robust variable power fractional LMS algorithm. Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 494-497 (Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016).

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title = "RVP-FLMS: A robust 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. The proposed algorithm named as robust variable power FLMS (RVP-FLMS) dynamically adapts the fractional power of the FLMS to achieve high convergence rate with low steady state error. For the evaluation purpose, the problems of system identification 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. The MATLAB code for the related simulation is available online at https://goo.gl/dGTGmP.",

keywords = "Least mean square (LMS), adaptive filter, channel equalization, fractional LMS (FLMS), fractional calculus, high convergence, low steady state error, plant identification, robust variable power FLMS (RVP-FLMS), robust variable step size (RVSS)",

author = "Jawwad Ahmad and Muhammad Usman and Shujaat Khan and Imran Naseem and Syed, {Hassan Jamil}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016 ; Conference date: 25-11-2016 Through 27-11-2016",

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month = apr,

day = "5",

doi = "10.1109/ICCSCE.2016.7893626",

language = "English",

series = "Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016",

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Ahmad, J, Usman, M, Khan, S, Naseem, I & Syed, HJ 2017, RVP-FLMS: A robust variable power fractional LMS algorithm. in Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016., 7893626, Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016, Institute of Electrical and Electronics Engineers Inc., pp. 494-497, 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016, Batu Ferringhi, Penang, Malaysia, 25/11/16. https://doi.org/10.1109/ICCSCE.2016.7893626

RVP-FLMS: A robust variable power fractional LMS algorithm. / Ahmad, Jawwad; Usman, Muhammad; Khan, Shujaat et al.
Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 494-497 7893626 (Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016).

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

TY - GEN

T1 - RVP-FLMS

T2 - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016

AU - Ahmad, Jawwad

AU - Usman, Muhammad

AU - Khan, Shujaat

AU - Naseem, Imran

AU - Syed, Hassan Jamil

PY - 2017/4/5

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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. The proposed algorithm named as robust variable power FLMS (RVP-FLMS) dynamically adapts the fractional power of the FLMS to achieve high convergence rate with low steady state error. For the evaluation purpose, the problems of system identification 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. The MATLAB code for the related simulation is available online at https://goo.gl/dGTGmP.

AB - In this paper, we propose an adaptive framework for the variable power of the fractional least mean square (FLMS) algorithm. The proposed algorithm named as robust variable power FLMS (RVP-FLMS) dynamically adapts the fractional power of the FLMS to achieve high convergence rate with low steady state error. For the evaluation purpose, the problems of system identification 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. The MATLAB code for the related simulation is available online at https://goo.gl/dGTGmP.

KW - Least mean square (LMS)

KW - adaptive filter

KW - channel equalization

KW - fractional LMS (FLMS)

KW - fractional calculus

KW - high convergence

KW - low steady state error

KW - plant identification

KW - robust variable power FLMS (RVP-FLMS)

KW - robust variable step size (RVSS)

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Ahmad J, Usman M, Khan S, Naseem I, Syed HJ. RVP-FLMS: A robust variable power fractional LMS algorithm. In Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 494-497. 7893626. (Proceedings - 6th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2016). doi: 10.1109/ICCSCE.2016.7893626

RVP-FLMS: A robust variable power fractional LMS algorithm

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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