Prediction-based Interacting Multiple Model Estimation Algorithm for Target Tracking with Large Sampling Periods
- Title
- Prediction-based Interacting Multiple Model Estimation Algorithm for Target Tracking with Large Sampling Periods
- Author
- 송택렬
- Keywords
- noisy system identification; prediction-based IMM; target tracking
- Issue Date
- 2008-02
- Publisher
- INST CONTROL AUTOMATION & SYSTEMS ENGINEERS-KOREAN INST ELECTRICAL ENG
- Citation
- INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, v. 6, No. 1, Page. 44-53
- Abstract
- An interacting multiple model (IMM) estimation algorithm based on the mixing of the predicted state estimates is proposed in this paper for a right continuous jump-linear system model different from the left-continuous system model used to develop the existing IMM algorithm. The difference lies in the modeling of the mode switching time. Performance of the proposed algorithm is compared numerically with that of the existing IMM algorithm for noisy system identification. Based on the numerical analysis, the proposed algorithm is applied to target tracking with a large sampling period for performance comparison with the existing IMM.
- URI
- http://www.ijcas.org/admin/paper/files/IJCAS_v6_n1_pp.44-53.pdfhttps://repository.hanyang.ac.kr/handle/20.500.11754/76807
- ISSN
- 1598-6446
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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