基于有源辅助的被动跟踪系统

The Passive Tracking System with Active Assistance

提出了一种有源雷达间歇辅助红外工作的雷达/红外协同跟踪系统,该系统通过减少雷达开机时间降低被敌方ESM(电子支持措施)锁定的可能性.为了改善纯角度跟踪的滤波发散问题,一方面,在滤波处理时采用了非线性逼近能力更强的U nscented卡尔曼滤波算法;另一方面,充分利用雷达、红外同时开机时的量测信息,构造出一组时间多项式,在雷达关机期间,利用该组时间多项式估计目标的运动状态,辅助红外传感器进行跟踪.计算机仿真结果表明,该方法不仅能保证跟踪精度,同时也能有效地降低雷达被敌方ESM锁定的可能性.

A new synergy tracking system was proposed, in which the radar is under intermittent-working state. To solve filtering divergence, the Unscented Kalman filter （UKF） algorithm, which has better non- linear approximation ability, is adopted ;on the other hand, a set of time polynomials is constructed based on the observation values from radar and infrared, and after radar is turned off, the target motion states are estimated by this set of polynomials. The simulation results show that the proposed method not only has a better tracking accuracy, but also can effectively decrease the possibility of radar being locked-on by adverse Electronic Support Measure（ESM）.