Employing moments of multiple high orders for high-resolution underdetermined DOA estimation based on MUSIC

Yuya Sugimoto, Shigeki Miyabe, Takeshi Yamada, Shoji Makino, Fred Juang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Several extensions of the MUltiple SIgnal Classification (MUSIC) algorithm exploiting high order statistics were proposed to estimate directions of arrival (DOAs) with high resolution in underdetermined conditions. However, these methods entail a trade-off between two performance goals, namely, robustness and resolution, in the choice of orders because use of high-ordered statistics increases not only the resolution but also the statistical bias. To overcome this problem, this paper proposes a new extension of MUSIC using a nonlinear high-dimensional map, which corresponds to the joint analysis of moments of multiple orders and helps to realize the both advantages of robustness and high resolution of low-ordered and high-ordered statistics. Experimental results show that the proposed method can estimate DOAs more accurately than the conventional MUSIC extensions exploiting moments of a single high order.

Original languageEnglish
Title of host publication2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013 - New Paltz, NY, United States
Duration: 2013 Oct 202013 Oct 23

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Other

Other2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
Country/TerritoryUnited States
CityNew Paltz, NY
Period13/10/2013/10/23

Keywords

  • Higher order statistics
  • Microphone array
  • MUSIC
  • Subspace analysis
  • Underdetermined DOA estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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