论文部分内容阅读
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。
Under the condition of strong confrontation, radar / IR dual-mode composite guidance tracking, the intermittent working mode of radar can reduce the blocking probability of enemy missiles and the locking probability of electronic support measures. In this paper, a radar and infrared sequential filtering fusion algorithm for radar intermittent guided operation is proposed in this paper. In view of the inconsistent characteristics of radar and infrared measurement time, this algorithm uses sequential processing of multi-sensor centralized fusion method In the tracking, a sequential filtering algorithm based on IMM-EKF (Interactive Multi-Model) and extended Kalman (IMM-EKF) is used to control intermittent radar operation by using state estimation covariance and measurement error variance in the filtering process. The algorithm can automatically adapt to intermittent radar work without the need to switch between single / dual sensor tracking mode. Finally, the influence of sensor data rate and radar intermittent work on tracking accuracy is analyzed by simulation.