基于多模型自适应估计的机动目标拦截

Interception of maneuvering target based on multiple model adaptive estimation

针对频率随机且初始相位未知的正弦机动目标,采用多模型自适应估计方法构建相应的成员滤波器,以实现对于机动频率的辨识和相关状态的估计.考虑到估计延迟等多种因素作用下,拦截导弹加速度无法达到最大容许值,从而不能充分发挥其性能,提出了一种有界控制修正增益制导策略.基于Monte Carlo试验法进行了仿真,结果表明,所给出的多模估计方法可以实现目标机动的有效辨识和状态估计,有界控制修正增益制导策略也具有较好的目标拦截性能.

For a sine-maneuvering target with random frequency and unknown initial phase, the multiple model adaptive estimation approach was adopted to construct the corresponding member filters and realize the maneuver frequency identification and state estimation. With taking into account the fact that the acceleration of intercepting missile can not achieve the maximum allowable value and offer fully its performance under the effect of estimation delay and other factors, a gain guidance strategy modified with bounded control was presented. The simulation was performed based on Monte Carlo testing method. The results show that the given multiple model estimation method can realize the effective identification of target maneuver and state estimation. And the gain guidance strategy modified with bounded control can possess a better target interception performance.