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ML-Based Angle-of-arrival Estimation of a Parametric Source

Title
ML-Based Angle-of-arrival Estimation of a Parametric Source
Author
박중후
Keywords
Estimation; Angle-of-arrival; Parametric distributed source; Maximum likelihood
Issue Date
2001-09
Publisher
한국음향학회
Citation
한국음향학회지, v. 20, no. 3, page. 25-30
Abstract
In angle of arrival estimation, the direction of a signal is usually assumed to be a point. If the direction of a signal is distributed due to some reasons in real surroundings, however, angle of arrival estimation techniques based on the point source assumption may result in poor performance. In this paper, we consider angle of arrival estimation when the signal sources are distributed. A parametric source model is proposed, and the estimation techniques based on well-known maximum likelihood technique is considered under the model. In addition, various statistical properties of the estimation errors were considered.
URI
https://scienceon.kisti.re.kr/srch/selectPORSrchArticle.do?cn=JAKO200111921141125https://repository.hanyang.ac.kr/handle/20.500.11754/160137
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ETC
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