基于支持向量机的雷达弹道外推方法仿真研究

支持向量机是一种求解回归预测问题的优秀决策方法,具有坚实的理论基础和优秀的预测性能。为解决目前雷达弹道外推中存在的精度不高和不能有效识别弹道等问题,对基于支持向量机的雷达弹道外推方法进行了仿真设计,并通过仿真弹道模拟雷达采样,进行了仿真实验。仿真实验结果表明:基于支持向量机的雷达弹道外推方法实用可行,可以获得较高的外推精度,并且能够有效地进行弹道识别。

The Radar Trajectory Prediction Approach Simulation Research Based on SVM

Support Vector Machine (SVM) is such an excellent method that can successfully solve regression prediction problem, and has solidly theoretical foundation and good prediction performance. In order to solve the problems about low prediction accuracy and incapable of trajectory recognition, the paper designs the simulation based on SVM. Finally, some simulation experiments have been conducted in which all the samples are obtained from the dynamic equation of radar. Simulation experiments demonstrate that the SVM-based method for the prediction of radar trajectory is feasible, and higher precision can be achieved. The method can recognise the trajectory effectively.