Volume 5 Number 3 (Mar. 2010)
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JSW 2010 Vol.5(3): 336-343 ISSN: 1796-217X
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.

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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, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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