Stable accelerated adaptive DOA tracking algorithm

Akira Sano; Koich Hidaka; Hiromitsu Ohmori

doi:10.1109/icassp.2002.5744930

Stable accelerated adaptive DOA tracking algorithm

Akira Sano, Koich Hidaka, Hiromitsu Ohmori

Department of System Design Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Pages (from-to)	II/1629-II/1632
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
DOIs	https://doi.org/10.1109/icassp.2002.5744930
Publication status	Published - 2002
Event	2002 IEEE International Conference on Acoustic, Speech and Signal Processing - Orlando, FL, United States Duration: 2002 May 13 → 2002 May 17

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

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title = "Stable accelerated adaptive DOA tracking algorithm",

abstract = "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.",

author = "Akira Sano and Koich Hidaka and Hiromitsu Ohmori",

year = "2002",

doi = "10.1109/icassp.2002.5744930",

language = "English",

volume = "2",

pages = "II/1629--II/1632",

journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 IEEE International Conference on Acoustic, Speech and Signal Processing ; Conference date: 13-05-2002 Through 17-05-2002",

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AU - Sano, Akira

AU - Hidaka, Koich

AU - Ohmori, Hiromitsu

PY - 2002

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N2 - 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.

AB - 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.

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DO - 10.1109/icassp.2002.5744930

M3 - Conference article

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SN - 0736-7791

VL - 2

SP - II/1629-II/1632

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - 2002 IEEE International Conference on Acoustic, Speech and Signal Processing

Y2 - 13 May 2002 through 17 May 2002

ER -

Stable accelerated adaptive DOA tracking algorithm

Abstract

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