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Multisensor multipled hypothesis algorithm based on data compressing technic
Zhang Jingwei, Xiong Wei, He You*
Research Institute of Information Fusion, Naval Aeronautical Engineering Institute, Yantai 264001, China

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Abstract�� In order to solve the problem of multitarget tracking in centralized multisensor situation, a new multisensor multitarget tracking algorithm was presented. At first, the algorithm permuted and combined the measurement from each sensor using the rule of generalized classical assignment algorithm. Then, all of measurements in each assignment were combined into one equivalent measurement according to their weight in the assignment. Finally, the association probability of each equivalent measurement was calculated, and then the state estimation in fusion center was obtained. Some typical simulations were used to compare the performance of the algorithm with the other centralized multisensor joint probabilistic data association (MSJPDA) method, and the results show that the performance of the algorithm here is better than that of the MSJPDA, especially under the environment of the detection probability decreasing.
Keywords�� multisensor   multipled hypothesis   data compressing   target tracking     
Received 2006-12-25;
Fund:

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Zhang Jingwei, Xiong Wei, He You.Multisensor multipled hypothesis algorithm based on data compressing technic[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(12): 1448-1451
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