Weighted maximum-likelihood source localization for wideband signals in the near-field

Tingting Niu, Yixin Yang

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

1 Scopus citations

Abstract

In this paper, the source localization of wideband signals in near-field is investigated. Based on the conventional Maximum-likelihood source localization, we propose a more efficient algorithm called Weighted Maximum-likelihood source localization (WML). In this proposed algorithm, the ML estimate is obtained by using the spectrum on each frequency bin, and then all estimates are weighted according to the corresponding SNRs, where the fact that the SNRs are different at each frequency bin mostly for wideband signals is utilized. Simulation results demonstrate that the proposed algorithm outperforms the conventional Maximum-likelihood solution.

Original languageEnglish
Title of host publication2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
DOIs
StatePublished - 2009
Event2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009 - Nanjing, China
Duration: 13 Nov 200915 Nov 2009

Publication series

Name2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009

Conference

Conference2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009
Country/TerritoryChina
CityNanjing
Period13/11/0915/11/09

Keywords

  • Localization
  • Maximum-likelihood
  • Near-field
  • Wideband signal

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