JSW 2010 Vol.5(3): 336-343 ISSN: 1796-217X
doi: 10.4304/jsw.5.3.336-343
doi: 10.4304/jsw.5.3.336-343
Data Association Approach for Two Dimensional Tracking Based on Bearing-Only Measurements in Clutter Environment
Hui Chen1, Chen Li2
1School of Electrical & Information Engineering, Lanzhou University of Technology, Lanzhou, china
2Institute of Synthetic Automation, Xi’an Jiaotong University, Xi’an, china
Abstract—This paper mainly studies angle-measurement based data association algorithm to overcome the existing problems in the applications of traditional association approaches for bearing-only target locating and tracking system. First, this paper proposes a fast track initiation approach for the system using a single passive sensor. In this approach, the rules of screening out threatening targets are set by analyzing the characteristics of target motion in two dimensional bearing-only coordinates. And the track initiation of threatening targets is implemented in the shortest time based on a modified heuristic algorithm using these rules. Then, other target tracks are initialized based on a logic-based algorithm in two dimensional bearing-only coordinates as a supplement. At last, by deeply studying different point-track association algorithms and comparing the association effect between JPDA and NNDA in bearingonly coordinate, suitable angle-measurement based association algorithm is presented. As the results, the confirming efficiency of the bearing-only measurements is improved and false tracking with the dense clutter is limited. The application of this algorithm has effectively resolved the track association problem of the bearing-only tracking using a single passive sensor. The application of the proposed approach in a simulation system proves its effectiveness and practicability.
Index Terms—data association, track initiation, bearingonly tracking, passive sensor, NNDA, JPDA.
2Institute of Synthetic Automation, Xi’an Jiaotong University, Xi’an, china
Abstract—This paper mainly studies angle-measurement based data association algorithm to overcome the existing problems in the applications of traditional association approaches for bearing-only target locating and tracking system. First, this paper proposes a fast track initiation approach for the system using a single passive sensor. In this approach, the rules of screening out threatening targets are set by analyzing the characteristics of target motion in two dimensional bearing-only coordinates. And the track initiation of threatening targets is implemented in the shortest time based on a modified heuristic algorithm using these rules. Then, other target tracks are initialized based on a logic-based algorithm in two dimensional bearing-only coordinates as a supplement. At last, by deeply studying different point-track association algorithms and comparing the association effect between JPDA and NNDA in bearingonly coordinate, suitable angle-measurement based association algorithm is presented. As the results, the confirming efficiency of the bearing-only measurements is improved and false tracking with the dense clutter is limited. The application of this algorithm has effectively resolved the track association problem of the bearing-only tracking using a single passive sensor. The application of the proposed approach in a simulation system proves its effectiveness and practicability.
Index Terms—data association, track initiation, bearingonly tracking, passive sensor, NNDA, JPDA.
Cite: Hui Chen, Chen Li, "Data Association Approach for Two Dimensional Tracking Based on Bearing-Only Measurements in Clutter Environment," Journal of Software vol. 5, no. 3, pp. 336-343, 2010.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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