角闪烁噪声测量条件下的剩余飞行时间估计

Estimation of Time to Go under Angular Glint Noise Condition

摘要:

针对雷达导引头角闪烁噪声测量条件下的机动目标,研究剩余飞行时间计算方法;建立了闪烁噪声计算模型；在粒子滤波算法和扩展卡尔曼滤波算法的基础上,推导了扩展卡尔曼粒子滤波算法的实现过程；根据估计结果建立了剩余飞行时间计算模型,在剩余飞行时间表达式中考虑了目标机动加速度的影响;仿真结果表明,基于机动目标当前统计模型的扩展卡尔曼粒子滤波算法对闪烁噪声测量条件下的机动目标具有良好的跟踪性能,对剩余飞行时间具有较高的估计精度。

Abstract:

The paper puts forward a method to calculate the time to go under angular glint noise of radar seeker measurement condition for maneuvering target. Angular glint noise calculation model is founded. The paper deduces an extended Kalman particle filtering algorithm based on particle filtering algorithm and extended Kalman filtering algorithm. Time to go calculation model is founded using filtering results of target motion state, which considers the effect of target maneuvering acceleration. The simulations show that extended Kalman particle filtering algorithm based on maneuvering target current statistical model has good tracking performance under angular glint noise of radar seeker measurement condition for maneuvering target, the time to go has good estimate accuracy.