Abstract
Target maneuvering situations are usually existed in radar tracking systems. The maneuvering will cause severe tracking error in a radar tracking system. Therefore accurately detecting and estimating maneuvering status of targets is one essential step in the reduction of tracking errors. In this paper, we develop a dynamic multiple-model estimator to track multiple maneuvering targets for a radar system. In this dynamic multiple-model estimator, an equivalent filter bank structure is designed to estimate the status of target maneuvering situations. Moreover an adaptive procedure is applied in this system to adjust the filtering gain in real time to obtain faster response for tracking filters. Therefore, applying the proposed approach, the system will quickly and efficiently to obtain th more accurate tracking results even under various targets' situations.
| Original language | English |
|---|---|
| Pages (from-to) | 4809-4817 |
| Number of pages | 9 |
| Journal | International Journal of Innovative Computing, Information and Control |
| Volume | 5 |
| Issue number | 12 |
| Publication status | Published - 2009 Dec 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Theoretical Computer Science
- Information Systems
- Computational Theory and Mathematics
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A dynamic multiple-model estimator and neural algorithm for radar system. / Chung, Yi-Nung; Hsu, Tsung Chun; Li, Ming Liang; Pan, Tien Szu; Hsu, Chao Hsing.
In: International Journal of Innovative Computing, Information and Control, Vol. 5, No. 12, 01.12.2009, p. 4809-4817.Research output: Contribution to journal › Article
TY - JOUR
T1 - A dynamic multiple-model estimator and neural algorithm for radar system
AU - Chung, Yi-Nung
AU - Hsu, Tsung Chun
AU - Li, Ming Liang
AU - Pan, Tien Szu
AU - Hsu, Chao Hsing
PY - 2009/12/1
Y1 - 2009/12/1
N2 - Target maneuvering situations are usually existed in radar tracking systems. The maneuvering will cause severe tracking error in a radar tracking system. Therefore accurately detecting and estimating maneuvering status of targets is one essential step in the reduction of tracking errors. In this paper, we develop a dynamic multiple-model estimator to track multiple maneuvering targets for a radar system. In this dynamic multiple-model estimator, an equivalent filter bank structure is designed to estimate the status of target maneuvering situations. Moreover an adaptive procedure is applied in this system to adjust the filtering gain in real time to obtain faster response for tracking filters. Therefore, applying the proposed approach, the system will quickly and efficiently to obtain th more accurate tracking results even under various targets' situations.
AB - Target maneuvering situations are usually existed in radar tracking systems. The maneuvering will cause severe tracking error in a radar tracking system. Therefore accurately detecting and estimating maneuvering status of targets is one essential step in the reduction of tracking errors. In this paper, we develop a dynamic multiple-model estimator to track multiple maneuvering targets for a radar system. In this dynamic multiple-model estimator, an equivalent filter bank structure is designed to estimate the status of target maneuvering situations. Moreover an adaptive procedure is applied in this system to adjust the filtering gain in real time to obtain faster response for tracking filters. Therefore, applying the proposed approach, the system will quickly and efficiently to obtain th more accurate tracking results even under various targets' situations.
UR - http://www.scopus.com/inward/record.url?scp=74349091227&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74349091227&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:74349091227
VL - 5
SP - 4809
EP - 4817
JO - International Journal of Innovative Computing, Information and Control
JF - International Journal of Innovative Computing, Information and Control
SN - 1349-4198
IS - 12
ER -