An adaptive algorithm for estimating the acceleration of highly maneuvering targets

1982 ◽  
Author(s):  
Hongren Zhou ◽  
K. P. Kumar
Keyword(s):  
Adaptive Algorithm ◽  
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.

Structure and Adaptive Algorithm of Frequency Domain SSCF-ANC System

2018 ◽  
Vol 138 (11) ◽  
pp. 1355-1361
Author(s):  
Masaki Kobayashi ◽  
Naoto Sasaoka ◽  
Yoshio Itoh
Keyword(s):  
Frequency Domain ◽  
Adaptive Algorithm
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