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针对空基雷达数据率低的特点,提出一种新的基于雷达/红外成像的机动目标跟踪信息融合算法。建立了弹道导弹目标机动模型和雷达/红外成像导引头观测方程,以动能拦截弹红外成像导引头数据更新时间为基准,以空基雷达采样周期为间隔对距离信息进行实时修正,推导了雷达/红外成像复合制导信息融合跟踪扩展卡尔曼滤波算法。仿真结果表明,该算法融合精度高、实时性好,从而验证了所设计的信息融合跟踪滤波算法的正确性和有效性。
Aiming at the low data rate of airborne radar, a new fusion algorithm of maneuvering target tracking information based on radar / infrared imaging is proposed. The ballistic missile target maneuvering model and the radar / infrared imaging seeker observation equation are established. Based on the data update time of kinetic energy interception missile infrared imaging seeker, the distance information is corrected in real time by space-time radar sampling interval, Radar / Infrared Imaging Composite Guidance Information Fusion Tracking Extended Kalman Filter Algorithm. The simulation results show that the proposed algorithm has high fusion accuracy and good real-time performance, which verifies the correctness and validity of the proposed information fusion tracking filtering algorithm.