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

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013
DOI
出版ステータスPublished - 2013
外部発表はい
イベント2013 14th IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2013 - New Paltz, NY, United States
継続期間: 2013 10 202013 10 23

出版物シリーズ

名前IEEE 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
国/地域United States
CityNew Paltz, NY
Period13/10/2013/10/23

ASJC Scopus subject areas

  • 電子工学および電気工学
  • コンピュータ サイエンスの応用

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