A step size control method for deficient length FBLMS algorithm

Ming Wu, Jun Yang

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

In many practical situations, where the length of the system impulse response is extremely long, the adaptive filter usually works in an under-modeling situation. In our previous work, we found that for deficient-length frequency-domain block least-mean-square (FBLMS) algorithm, the steady-state solution depends on the step size selected. The deficient length-FBLMS algorithm will converge to the Wiener solution only if the same step size is selected for each frequency bin. Numerous variable step-size methods for FBLMS algorithm have been proposed. However, almost all of them cannot converge to the Wiener solution in the under-modeling situation. In this letter, a step size control method for deficient-length FBLMS algorithm is proposed. Effectiveness of the proposed algorithm is demonstrated through computer simulations.

Original languageEnglish
Article number6987245
Pages (from-to)1448-1451
Number of pages4
JournalIEEE Signal Processing Letters
Volume22
Issue number9
DOIs
Publication statusPublished - Sept 1 2015
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus Subject Areas

  • Signal Processing
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Adaptive filters
  • deficient length least-mean-square (LMS) algorithm
  • variable step size

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