基于有源辅助的被动跟踪系统  

The Passive Tracking System with Active Assistance

作　　者：李安平[1] 敬忠良[1] 胡士强[1] 

机构地区：[1]上海交通大学航空航天信息与控制研究所,上海200030

出　　处：《上海交通大学学报》2005年第12期2048-2051,2056,共5页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金(60375008);国家教育部科学技术研究重点项目(01072);上海市科技发展基金重点项目(015115038);高校博士点基金(20020248);航空科学基金(02D57003)联合资助

摘　　要：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）.

关 键 词：有源雷达 红外 最小二乘法 时间多项式 UNSCENTED卡尔曼滤波 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]