一种基于雷达资源管理优化的跟踪系统

摘要

Radar is the way of tracking target on the battlefield,when hostile force uses active suppressing interference,target trace is lost,radar can't track target continuously.In order to improve tracking property for target,tracking system is built based on radar resource management optimization in interference.Firstly,to use Kalman smoothing to predict radar lost information,when tracking precision can't make desired value satisfied,the method of SVMR to estimate lost data is applied, simulation proves the system can solve lost problem of target trace in the condition of active suppressing interference,enhancing radar tracking property for target.%战场上雷达是对目标进行跟踪的常用手段,当敌方施放有源压制干扰时常导致目标航迹丢失,雷达无法对目标进行持续跟踪.为了改善对目标的跟踪性能,建立了干扰背景下基于雷达资源管理优化的跟踪系统,采用Kalman滤波预测雷达量测缺失数据,当跟踪精度不满足期望值时应用支持向量机回归(SVMR,Support Vector Ma-chine Regression)算法估计缺失数据,仿真验证了该系统能够解决有源压制干扰条件下的目标航迹丢失问题,增强了雷达对目标的跟踪性能.