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《Electronics Optics & Control》 2013-10
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A Maneuvering Target Tracking Method Based on Variance Model Probability

XU Fei;LIN Ming;Jiangsu University of Science and Technology;  
The interacting multiple model( IMM) algorithm has large amount of calculation and limited performance during model switching. To solve the problem,a new adaptive filtering algorithm,Variance Model Probability( VMP) algorithm,was introduced. The algorithm uses the multiple models and deduces model variance by using measurement residuals. The model probability has inverse relationship with variance,and the filtering result is the weighted sum. In order to reduce measurement error caused by noise,it needs to calculate average variance in set time window. Simulation indicated that VMP algorithm is better than IMM in performance and needs less time in calculation. It can improve the cost-effectiveness effectively.
【CateGory Index】: TN953
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