DocumentCode
2291570
Title
An Algorithm for Multitarget Tracking in Dense Clutter
Author
Wei, Wu ; Dongjin, Wang ; Weidong, Chen
Author_Institution
EEIS, USTC
fYear
2006
fDate
16-19 Oct. 2006
Firstpage
1
Lastpage
5
Abstract
Due to some adverse factors, tracking multitarget in dense clutter becomes a difficult task. Therefore, a new algorithm is presented in this paper which consists of m-best 2-D assignment algorithm and generalized likelihood ratio test (GLRT). Simulated numerical examples are given, which demonstrate that this algorithm can solve the problem of "measurement-to-track" association efficiently, and discriminate the true or false track in short time which can reduce the need for storage and calculation enormously
Keywords
clutter; sensor fusion; target tracking; 2D assignment algorithm; dense clutter; multitarget tracking algorithm; Current measurement; Measurement uncertainty; Numerical simulation; Particle measurements; Size measurement; State estimation; Target tracking; Testing; Time measurement; generalized likehood ratio test; m-best 2-D assignment algorithm; multitarget tracking; track confirmation; track deletion; track initiation;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2006. CIE '06. International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-9582-4
Electronic_ISBN
0-7803-9583-2
Type
conf
DOI
10.1109/ICR.2006.343215
Filename
4148321
Link To Document