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中文摘要：
在强对抗条件下雷达／红外双模复合制导跟踪中，雷达采用间歇工作方式可以减少敌方导弹拦截概率和电子支援措施锁定概率。文中在导弹复合制导跟踪中提出了一种雷达间歇工作下的雷达与红外序贯滤波融合算法，该算法针对雷达、红外量测时间不一致的特点，采用顺序处理结构的多传感器集中式融合方法对目标进行跟踪，在跟踪中使用了基于交互多模型和扩展卡尔曼（IMM—EKF）的序贯滤波方法，利用滤波过程中的状态估计协方差与测量误差方差进行比较控制雷达间歇工作。该算法可以自动适应雷达间歇工作，不需要在单／双传感器跟踪模式之间切换，最后通过仿真的方法分析了传感器数据率和雷达间歇工作对跟踪精度的影响。
英文摘要：
In the radar and infrared （IR） sensor compound guidance under strong counterwork condition, intermittent working of radar can reduce the enemy missile interception probability and electronic support measures （ESM） lock probability. A radar/IR sequential filtering fusion algorithm was proposed in radar/1R compound guidance with radar under intermittent-working state. The algorithm used sequential centralized multisensor fusion method for target tracking considering that the measurement of radar and infrared sensor was non-synchronous. Sequential filtering fusion algorithm based on interacting multiple model and extended Kalman filter （IMM-EKF） was used for target tracking. The algorithm used the comparison of the state estimation covariance and the measurement error variance to control radar under intermittent-working state. The algorithm can automatically adapt to radar under intermittent-working state, need not switch over single sensor tracking mode and dual sensor tracking mode. The influence of the sensor＇s data rate and radar under intermittent-working state on radar/IR compound tracking precision was analyzed.
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