Ground Target Optimal Tracking Model Based on Genetic Least Squares Support Vector Machine

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Abstract The ground target optimal tracking is very important in the ground target tracking of UAV. In order to improve the ground target tracking performance of support vector machine, ground target optimal tracking model based on genetic least squares support vector machine in this paper. Least squares support vector machine can apply equality constraints for the error instead of inequality constraints used by support vector machine. Here, genetic algorithm is applied to select the appropriate parameters of least squares support vector machine.The process of ground target optimal tracking model based on genetic least squares support vector machine is given,the comparison of the ground target tracking distance and angle error among the three methods show that the ground target tracking effects of genetic least squares support vector machine are better than support vector machine and artificial neural network.