Multiple arrays multiple targets data fusion and tracking based on TDOA measurement using FCM-JPDA algorithm

The paper introduced the FCM-JPDA (fuzzy clustering means, joint probability data association) method for multi-target tracking based on TDOA (time difference of arrival) measurements. This method is used in a tracking system with an array group which has several subarrays. The FCM-JPDA method combi...

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Bibliographic Details
Published inICSP' 02 : 2002 6th International Conference on Signal Processing proceedings, August 26-30, 2002, Beijing, China Vol. 2; pp. 1612 - 1616 vol.2
Main Authors JinYu He, YiJian Yan, Qiao Meng
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Clustering algorithms
Computational efficiency
Fuzzy logic
Helium
Neural networks
Position measurement
Radar tracking
Sensor arrays
Signal processing algorithms
Target tracking
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ISBN9780780374881
0780374886
DOI10.1109/ICOSP.2002.1180107

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Summary:The paper introduced the FCM-JPDA (fuzzy clustering means, joint probability data association) method for multi-target tracking based on TDOA (time difference of arrival) measurements. This method is used in a tracking system with an array group which has several subarrays. The FCM-JPDA method combines the FCM algorithm with the JPDA algorithm to reduce the computational cost in data association. In computer simulation, the FCM-JPDA method shows a good performance in multi-target tracking.
ISBN:9780780374881
0780374886
DOI:10.1109/ICOSP.2002.1180107