A 'current' statistical model and adaptive algorithm for estimating maneuvering targets

1984 ◽  
Vol 7 (5) ◽  
pp. 596-602 ◽  
Author(s):  
Hongren Zhou ◽  
K.S.P. Kumar
Keyword(s):  
Statistical Model ◽  
Adaptive Algorithm ◽  
Maneuvering Targets ◽  
A Current

Improved Current Statistic Model and Adaptive Filtering

2005 ◽  
Author(s):  
Hongtao Hu ◽  
Zhongliang Jing
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Statistical Model ◽  
Adaptive Filtering ◽  
Adaptive Algorithm ◽  
Tracking Algorithm ◽  
Unscented Transformation ◽  
Maneuvering Targets ◽  
Statistic Model ◽  
Simulation Results

Current statistical model needs to pre-define the value of maximum accelerations of maneuvering targets. So it may be difficult to meet all maneuvering conditions. In this paper a novel adaptive algorithm for tracking maneuvering targets is proposed. The algorithm is implemented with fuzzy-controlled current statistic model adaptive filtering and unscented transformation. The Monte Carlo simulation results show that this method outperforms the conventional tracking algorithm based on current statistical model.

scholarly journals A statistical model of magnetic islands in a current layer

2010 ◽  
Vol 17 (1) ◽  
pp. 010702 ◽  
Author(s):  
R. L. Fermo ◽  
J. F. Drake ◽  
M. Swisdak
Keyword(s):  
Statistical Model ◽  
Current Layer ◽  
Magnetic Islands ◽  
A Current
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