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해석적 방법에 의한 PDA-AI 성능의 Tight Bound.

Title
해석적 방법에 의한 PDA-AI 성능의 Tight Bound.
Other Titles
A Tight Bound for PDA-Al Performance
Author
송택렬
Keywords
Target tracking; PDA-AI; Monte Carlo simulation; Tight lower bound; Analytic solution
Issue Date
2003-07
Publisher
대한전기학회
Citation
전기학회논문지 D권, v. 52, no. 7, page. 410-417
Abstract
- In this paper, We propose a new target tracking filter which utilizes PDA-AI for data association in a clutter environment and also propose an analytic solution for ideal filter covariance which accounts for all the possible events in PDA-AI. Monte Carlo simulation for the proposed filter in a clutter environment indicates that the proposed analytic solution forms a tight lower bound for the error covariance of PDA-AI filter.
URI
http://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE01261837https://repository.hanyang.ac.kr/handle/20.500.11754/156018
ISSN
1229-6287
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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