Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association

Author(s):  
Kuan-Hui Lee ◽  
Yusuke Kanzawa ◽  
Matthew Derry ◽  
Michael R. James
2002 ◽  
Vol 38 (2) ◽  
pp. 659-668 ◽  
Author(s):  
Shozo Mori ◽  
W.H. Barker ◽  
Chee-Yee Chong ◽  
Kuo-Chu Chang

2017 ◽  
Vol 2017 ◽  
pp. 1-8
Author(s):  
Yi Mao ◽  
Yun-ru Li ◽  
Jin-fu Zhu

To realize common tactical picture in network-centered system, this paper proposes a layered architecture for distributed information processing and a method for distributed track fusion on the basis of analyzing the characteristics of network-centered systems. Basing on the noncorrelation of three-dimensional measurement of surveillance and reconnaissance sensors under polar coordinates, it also puts forward an algorithm for evaluating track quality (TQ) using statistical decision theory. According to simulation results, the TQ value is associated with the measurement accuracy of sensors and the motion state of targets, which is well matched with the convergence process of tracking filters. Besides, the proposed algorithm has good reliability and timeliness in track quality evaluation.


2015 ◽  
Vol 740 ◽  
pp. 736-738
Author(s):  
Wen Jin Yin ◽  
Jing Yuan Zhang ◽  
Hui Liu ◽  
Zhe Rao

Track association is an important role in torpedo anti- acoustic countermeasure. This paper put the multi-hypothesis targets algorithm which based on kalman filter theory into application of multi- targets track association. Data simulation experiment proved it that multi-hypothesis targets algorithm can effectively solve the measurement target data association problem .The target track can also be affirmed in short time


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