Underdetermined DOA estimation by the non-linear music exploiting higher-order moments

Yuya Sugimoto, Shigeki Miyabe, Takeshi Yamada, Shoji Makino, Biing Hwang Juang

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

6 Citations (Scopus)

Abstract

This paper describes a new approach for extending MUltiple SIgnal Classification (MUSIC) to underdetermined direction-of-arrival (DOA) estimation with high resolution by exploiting higher-order moments. The proposed method maps the observed signals nonlinearly onto a space of expanded dimensions, in which signal statistics are analyzed. The covariance matrix in the higher-dimensional space corresponds to the higher-order cross moment matrix in the original space of the observed signals. Since the dimensionality of the noise subspace is increased by the mapping, the proposed method achieves higher resolution DOA estimation than the standard MUSIC, and also offers the ability to estimate DOAs in underdetermined conditions. We compared the characteristic of the proposed method with that of the conventional 2q-MUSIC utilizing higher-order cumulants theoretically and experimentally.

Original languageEnglish
Title of host publicationInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783800734511
Publication statusPublished - 2012
Externally publishedYes
EventInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012 - Aachen, Germany
Duration: 2012 Sep 42012 Sep 6

Publication series

NameInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012

Conference

ConferenceInternational Workshop on Acoustic Signal Enhancement, IWAENC 2012
Country/TerritoryGermany
CityAachen
Period12/9/412/9/6

Keywords

  • Higher-order statistics
  • Microphone array
  • MUSIC
  • Underdetermined DOA estimation

ASJC Scopus subject areas

  • Software
  • Acoustics and Ultrasonics
  • Computer Networks and Communications
  • Signal Processing

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