An IMM Algorithm for Tracking Maneuvering Targets Based on Current Statistical Model

2016 ◽  
Author(s):  
Lijin Cai ◽  
Xiaotao Xu ◽  
Jianguo Liu ◽  
Lilong Mo ◽  
Jingpeng Tang
Keyword(s):  
Statistical Model ◽  
Maneuvering Targets

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.

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.

Statistical Model Fitting: A State-of-the-Art Review

1978 ◽  
Vol 23 (11) ◽  
pp. 937-938
Author(s):  
JAMES R. KLUEGEL
Keyword(s):  
Statistical Model ◽  
State Of The Art ◽  
Model Fitting

STATISTICAL MODEL FOR DETERMINATION OF PROBABILITY OF LIGHTNING STROKES TO GROUND OBJECTS

2016 ◽  
Vol 2016 (2) ◽  
pp. 11-18 ◽  
Author(s):  
E.I. Sokol ◽  
◽  
М.М. Rezinkina ◽  
О.L. Rezinkin ◽  
O.G. Gryb ◽  
...  
Keyword(s):  
Statistical Model
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