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Abstract
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Article Information:
An Improved Data Correlation Algorithm for Multi-passive-sensor Tracking System
Lijing Zhang, Yuxiao Song and Li Zhou
Corresponding Author: Li Zhou
Submitted: July 4, 2013
Accepted: July 23, 2013
Published: March 15, 2014 |
Abstract:
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For improving the performance of the optimal assignment problem of data correlation of multi-passive-sensor system, an improved optimal assignment algorithm based on multi-source information fusion is put forward. The new algorithm takes advantage of the optimal solution and a certain number of near-optimal solutions of the traditional optimal assignment problem to construct a set of effective multi-tuple of measurement and constructs correlation probability fusing multi-source information between above effective multi-tuple of measurement and target track by using combination rule of D-S evidence theory. The result of simulation experiments shows that, compared with the traditional optimal assignment algorithm, the new algorithm not only improves the accuracy of multi-target tracking in different degrees but also saves a lot of time. So it is an effective data correlation algorithm for multi-passive-sensor system.
Key words: Combination rule of D-S evidence theory, data correlation, multi-tuple of measurement, the optimal assignment algorithm, , ,
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Cite this Reference:
Lijing Zhang, Yuxiao Song and Li Zhou, . An Improved Data Correlation Algorithm for Multi-passive-sensor Tracking System. Research Journal of Applied Sciences, Engineering and Technology, (10): 2106-2111.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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