Stable accelerated adaptive DOA tracking algorithm

Akira Sano, Koich Hidaka, Hiromitsu Ohmori

Research output: Contribution to journalConference articlepeer-review

1 Citation (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.

Original languageEnglish
Pages (from-to)II/1629-II/1632
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 2002
Event2002 IEEE International Conference on Acoustic, Speech and Signal Processing - Orlando, FL, United States
Duration: 2002 May 132002 May 17

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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