Entropy based approach for direction-of-arrival estimation in Gaussian and non-Gaussian correlated noise

Yifeng Zhou*, Henry Leung, Patrick C. Yip, Q. Jin

*この研究の対応する著者

研究成果: Conference article査読

抄録

In this paper, we present an entropy based approach for DOA estimation in Gaussian and non-Gaussian environments. The DOA estimates are obtained by minimizing an entropy measure of the array data in the noise sub-space. We show that the entropy approach leads to the MAP algorithm under the Gaussian assumption. Under the non-Gaussian assumption, we apply the varimax norm as an information measure. An intuitive consistency analysis is also performed. Computer simulations are used to demonstrate the effectiveness of the proposed approach.

本文言語English
ページ(範囲)3505-3508
ページ数4
ジャーナルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
5
出版ステータスPublished - 1997 1 1
外部発表はい
イベントProceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger
継続期間: 1997 4 211997 4 24

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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