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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