Tracking Moving Target on Airport Surface Based on Variable-Structure IMM Algorithm

2012 ◽  
Vol 459 ◽  
pp. 603-608 ◽  
Author(s):  
Shu Li Gong ◽  
Xu Hui Wang ◽  
Sheng Guo Huang
Keyword(s):  
Variable Structure ◽  
Moving Target ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Motion Model ◽  
Constant Acceleration ◽  
Surface Movement ◽  
Actual Movement ◽  
Velocity Motion ◽  
Model Algorithm

In order to track the moving target precisely on the airport surface, the Variable Structure Interacting Multiple Model Algorithm (VS-IMM) is applied to realize the Surface Movement Radar (SMR) tracking of target. Firstly, according to the actual movement of aircraft, the paper establishes a constant acceleration motion model, constant turn motion model and constant velocity motion model. Then, the VS-IMM algorithm is applied to the airport surface movement target tracking. Finally, VS-IMM is compared with IMM. Simulation results show that VS-IMM algorithm is more reliable than IMM algorithm on tracking of moving target on airport surface

The Application of IMM-PF in Airport Surface Moving Target Tracking

2014 ◽  
Vol 1056 ◽  
pp. 240-243
Author(s):  
Qian Chen ◽  
Bang Feng Wang ◽  
Shu Lin Liu
Keyword(s):  
Target Tracking ◽  
Moving Target ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Moving Targets ◽  
Constant Acceleration ◽  
Moving Target Tracking ◽  
Motion Models ◽  
Ca Model ◽  
Cv Model

In order to improve the accuracy of surveillance for the airport surface moving targets, the interacting multiple model (IMM) algorithm, adopting three motion models including the constant velocity (CV) model, the constant acceleration (CA) model and the constant turning (CT) model, is combined with the particle filter (PF) algorithm. Besides, the airport map information is utilized to amend the measured data and the output estimates so as to further improve the accuracy of airport surface moving target tracking. Numerical simulations show that the improved algorithm described in this paper is more feasible and effective in tracking the airport surface moving targets.

Interacting multiple model algorithm based on joint likelihood estimation

2011 ◽  
Vol 28 (4-6) ◽  
pp. 427-432
Author(s):  
Jie Sun ◽  
Chaoshu Jiang ◽  
Zhuming Chen ◽  
Wei Zhang
Keyword(s):  
Likelihood Estimation ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Joint Likelihood ◽  
Model Algorithm

scholarly journals Models and Algorithms for Tracking Target with Coordinated Turn Motion

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xianghui Yuan ◽  
Feng Lian ◽  
Chongzhao Han
Keyword(s):  
Em Algorithm ◽  
Expectation Maximization ◽  
Multiple Models ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Motion Model ◽  
Single Model ◽  
Kinematic Constraint ◽  
The Em Algorithm ◽  
Turn Rate

Tracking target with coordinated turn (CT) motion is highly dependent on the models and algorithms. First, the widely used models are compared in this paper—coordinated turn (CT) model with known turn rate, augmented coordinated turn (ACT) model with Cartesian velocity, ACT model with polar velocity, CT model using a kinematic constraint, and maneuver centered circular motion model. Then, in the single model tracking framework, the tracking algorithms for the last four models are compared and the suggestions on the choice of models for different practical target tracking problems are given. Finally, in the multiple models (MM) framework, the algorithm based on expectation maximization (EM) algorithm is derived, including both the batch form and the recursive form. Compared with the widely used interacting multiple model (IMM) algorithm, the EM algorithm shows its effectiveness.

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