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An adaptive kernel width update method of correntropy for channel estimation

  • Weihua Wang
  • , Jihong Zhao
  • , Hua Qu
  • , Badong Chen
  • , Jose C. Principe
  • Xi'an Jiaotong University
  • University of Florida

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

52 Scopus citations

Abstract

The maximum correntropy criterion (MCC) is a robust adaptation criterion, which has been successfully applied in various signal processing applications. The kernel width plays an important role in MCC adaptive filtering and has significant influence on convergence rate and steady-state performance. In this paper, we develop an adaptive kernel width update method for correntropy. The proposed algorithm may achieve faster convergence speed and lower steady-state excess mean square error (EMSE) than the original MCC algorithm. More importantly, the new method involves no extra free parameters and is computationally very simple.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Digital Signal Processing, DSP 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages916-920
Number of pages5
ISBN (Electronic)9781479980581, 9781479980581
DOIs
StatePublished - 9 Sep 2015
EventIEEE International Conference on Digital Signal Processing, DSP 2015 - Singapore, Singapore
Duration: 21 Jul 201524 Jul 2015

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2015-September

Conference

ConferenceIEEE International Conference on Digital Signal Processing, DSP 2015
Country/TerritorySingapore
CitySingapore
Period21/07/1524/07/15

Keywords

  • MCC
  • adaptive kernel width
  • channel estimation
  • correntropy

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