Abstract
Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with maneuvering situations.
| Original language | English |
|---|---|
| Title of host publication | TENCON 2007 - 2007 IEEE Region 10 Conference |
| DOIs | |
| Publication status | Published - 2007 Dec 1 |
| Event | IEEE Region 10 Conference, TENCON 2007 - Taipei, Taiwan Duration: 2007 Oct 30 → 2007 Nov 2 |
Publication series
| Name | IEEE Region 10 Annual International Conference, Proceedings/TENCON |
|---|
Other
| Other | IEEE Region 10 Conference, TENCON 2007 |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 07-10-30 → 07-11-02 |
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All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
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Extended neural network solution of radar tracking problems. / Juang, Dend Jyi; Hu, Kuo Chang; Lee, Mang Liang; Wang, Chih Yung; Chung, Yi Nung.
TENCON 2007 - 2007 IEEE Region 10 Conference. 2007. 4428841 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Extended neural network solution of radar tracking problems
AU - Juang, Dend Jyi
AU - Hu, Kuo Chang
AU - Lee, Mang Liang
AU - Wang, Chih Yung
AU - Chung, Yi Nung
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with maneuvering situations.
AB - Data association is the key technique to solve the multiple-target tracking problems. A new approach to tracking algorithm for radar system based on the neural network is investigated in this paper. The proposed algorithm will solve both the data association and the target tracking problems simultaneously. With this approach, the matching between radar measurements and existing target tracks can achieve a global consideration. Moreover, one simple detection and estimation algorithm denoted adaptive procedure will be applied when tracking targets with maneuvering situations.
UR - http://www.scopus.com/inward/record.url?scp=48649107056&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48649107056&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2007.4428841
DO - 10.1109/TENCON.2007.4428841
M3 - Conference contribution
AN - SCOPUS:48649107056
SN - 1424412722
SN - 9781424412723
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - TENCON 2007 - 2007 IEEE Region 10 Conference
ER -