VP-FLMS: A Novel Variable Power Fractional LMS Algorithm

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

    Research output: Chapter in Book/Conference paperConference paper

    10 Citations (Scopus)

    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 languageEnglish
    Title of host publicationICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks
    EditorsYeong Min Jang, Gianluca Reali, C.K. Toh, Zary Segall, Takeo Fujii
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages290-295
    Number of pages6
    ISBN (Electronic)9781509047499
    DOIs
    Publication statusPublished - Jul 2017
    Event9th International Conference on Ubiquitous and Future Networks, ICUFN 2017 - Milan, Italy
    Duration: 4 Jul 20177 Jul 2017

    Conference

    Conference9th International Conference on Ubiquitous and Future Networks, ICUFN 2017
    CountryItaly
    CityMilan
    Period4/07/177/07/17

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