Stable accelerated adaptive DOA tracking algorithm

Akira Sano, Koich Hidaka, Hiromitsu Ohmori

研究成果: Conference article査読

1 被引用数 (Scopus)


This paper is concerned with accelerated adaptive tracking algorithms for DOA estimation. New accelerated LMS and RLS type of adaptive algorithms are given from a standpoint that any parameter changes can be approximately expressed by a finite degree of polynomial function of time. The proposed algorithm involves a higher-order dynamics as an internal model in the adaptation loop. A sufficient condition for assuring stability of the accelerated adaptive algorithm is clarified based on the small gain and passivity theorems. The adaptive DOA tracking of rapidly moving sources can be attained and its effectiveness is examined in numerical simulations and experiments.

ジャーナルICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
出版ステータスPublished - 2002
イベント2002 IEEE International Conference on Acoustic, Speech and Signal Processing - Orlando, FL, United States
継続期間: 2002 5月 132002 5月 17

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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