Image-enhanced passive tracking of maneuvering targets

1994 ◽  
Author(s):  
Robert G. Hutchins
Keyword(s):  
Maneuvering Targets ◽  
Passive Tracking

Passive tracking of underwater maneuvering targets

1978 ◽  
Author(s):  
R. Moose ◽  
D. McCabe ◽  
H. VanLandingham
Keyword(s):  
Maneuvering Targets ◽  
Passive Tracking

Airborne Single Observer Passive Tracking Algorithm Based on Improved CS Model

2012 ◽  
Vol 157-158 ◽  
pp. 136-139
Author(s):  
Wang Xi Li ◽  
Chang Qiang Huang ◽  
Yong Wang ◽  
Yong Bo Xuan
Keyword(s):  
Monte Carlo ◽  
Statistical Model ◽  
Monte Carlo Simulations ◽  
Tracking Algorithm ◽  
Fuzzy Membership ◽  
Membership Functions ◽  
Filtering Algorithm ◽  
Fuzzy Membership Functions ◽  
Maneuvering Targets ◽  
Passive Tracking

Aim at solving the problem that the target may exceed acceleration limit, a new passive tracking filtering algorithm based on “Current” Statistical (CS) model has been proposed. By designing nonlinear fuzzy membership functions, the new “Current” Statistical model filtering algorithm can adaptively adjust the acceleration upper and lower of CS model. Monte Carlo simulations of maneuvering targets show that the NCS algorithm has a better performance than the traditional CS algorithm.

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