基于支持向量机的雷达弹道外推方法研究  

The Radar Trajectory Prediction Approach Research Based on SVM

作　　者：周永生[1] 唐升平[2] 

机构地区：[1]南昌陆军学院 [2]73125部队

出　　处：《战术导弹技术》2007年第2期70-73,共4页Tactical Missile Technology

摘　　要：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外推准确率不高和不能有效地进行弹道识别等问题,用基于支持向量机的方法对雷达探测弹道进行了外推研究,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.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 presented paper investigates the prediction of radar trajectory based on SVM. Finally, some simulation experiments have been done 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.

关 键 词：支持向量机 弹道外推 分类 回归 

分 类 号：TN971.1[电子电信—信号与信息处理] TN959.12[电子电信—信息与通信工程]