Input estimation with multiple model for maneuvering target tracking
- Title
- Input estimation with multiple model for maneuvering target tracking
- Author
- 송택렬
- Keywords
- Input estimation; Multiple model adaptive estimation; Maneuver onset time detection
- Issue Date
- 2002-12
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Citation
- CONTROL ENGINEERING PRACTICE, v. 10, issue. 12, page. 1385-1391
- Abstract
- To increase the performance of maneuvering target tracking, an algorithm utilizing input estimation with multiple model based on two independent mode sets is suggested in this paper. The proposed algorithm consists of hypothesized multiple filters to estimate the unknown target acceleration and a test statistic developed from a modified version of the generalized likelihood ratio test to detect the maneuver onset time. An efficient algorithm for the target acceleration estimation is derived to reduce the computational burden of multiple model estimation. A numerical analysis is carried out to obtain the proper window length and the average delay of the algorithm. Performance of the proposed algorithm is evaluated by a series of simulation runs. (C) 2002 Elsevier Science Ltd. All rights reserved.
- URI
- https://www.sciencedirect.com/science/article/pii/S0967066102001089https://repository.hanyang.ac.kr/handle/20.500.11754/158152
- ISSN
- 0967-0661
- DOI
- 10.1016/S0967-0661(02)00108-9
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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