Variational Approximation for Extended Target Tracking in Clutter with Random Matrix

2021 ◽  
Author(s):  
Xiaojun Yang ◽  
Qinqin Jiao
Keyword(s):  
Target Tracking ◽  
Random Matrix ◽  
Variational Approximation ◽  
Extended Target

scholarly journals Tracking Maneuvering Group Target with Extension Predicted and Best Model Augmentation Method Adapted

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Linhai Gan ◽  
Gang Wang
Keyword(s):  
Target Tracking ◽  
Random Matrix ◽  
Poor Performance ◽  
Group Extension ◽  
New Approach ◽  
Basic Model ◽  
True Motion ◽  
Motion Modes ◽  
Model Set ◽  
Group Target

The random matrix (RM) method is widely applied for group target tracking. The assumption that the group extension keeps invariant in conventional RM method is not yet valid, as the orientation of the group varies rapidly while it is maneuvering; thus, a new approach with group extension predicted is derived here. To match the group maneuvering, a best model augmentation (BMA) method is introduced. The existing BMA method uses a fixed basic model set, which may lead to a poor performance when it could not ensure basic coverage of true motion modes. Here, a maneuvering group target tracking algorithm is proposed, where the group extension prediction and the BMA adaption are exploited. The performance of the proposed algorithm will be illustrated by simulation.

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