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New optimal algorithm of data association for multi-passive-sensor location system

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In dense target and false detection scenario of four time difference of arrival (TDOA)for multi-passive-sensor location system, the global optimal data association algorithm has to be adopted. In view of the heavy calculation burden of the traditional optimal assignment algorithm, this paper proposes a new global optimal assignment algorithm and a 2-stage association algorithm based on a statistic test.Compared with the traditional optimal algorithm, the new optimal algorithm avoids the complicated operations for finding the target position before we calculate association cost; hence, much of the procedure time is saved. In the 2-stage association algorithm, a large number of false location points are eliminated from candidate associations in advance. Therefore, the operation is further decreased, and the correct data association probability is improved in varying degrees. Both the complexity analyses and simulation results can verify the effectiveness of the new algorithms.

optimal assignment algorithmdata association2-stage association algorithmmulti-passive-sensor location systemdistance difference of arrival (DDOA)

ZHOU Li、HE You、ZHANG WeiHua

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School of Management, Ludong University, Yantai 264025, China

Research Institute of Information Fusion, Naval Aeronautical Engineering Institute, Yantai 264001, China

Property and Logistic Management, Ludong University, Yantai 264025, China

国家自然科学基金国家自然科学基金国家自然科学基金Excellent Ph D Paper Author Foundation of China山东省自然科学基金

6017203360672139606721402002372005ZX01

2007

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

影响因子：0.715
ISSN：1674-733X
年,卷(期)：2007.50(4)
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