scholarly journals Constrained Unscented Kalman Filtering for Bearings-Only Maneuvering Target Tracking

2020 ◽  
Vol 29 (3) ◽  
pp. 501-507
Author(s):  
Hongwei Zhang ◽  
Weixin Xie
Keyword(s):  
Target Tracking ◽  
Kalman Filtering ◽  
Maneuvering Target Tracking ◽  
Maneuvering Target

Algorithm for Maneuvering Target Tracking Based on MATLAB

2013 ◽  
Vol 427-429 ◽  
pp. 1585-1588
Author(s):  
Jiang Ming Kuang ◽  
Shuang Zhang
Keyword(s):  
Nonlinear System ◽  
Target Tracking ◽  
Kalman Filtering ◽  
Tracking Error ◽  
National Defense ◽  
Extended Kalman Filtering ◽  
Maneuvering Target Tracking ◽  
Filtering Algorithm ◽  
Maneuvering Target ◽  
Stable Performance

the theory for maneuvering target tracking is significant to national defense and civil application. The filtering algorithm is one of important components in maneuvering target tracking. After the model of the maneuvering target is built, state vectors in the model are forecast and estimated through relevant filtering algorithms. The Unscented Kalman filtering is a novel filtering algorithm specially used for the nonlinear system, which is characterized by easy implementation, good generality, stable performance and so forth. Compared with the traditional Extended Kalman Filtering algorithm, the filtering algorithm can achieve less tracking error and higher tracking precision.

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