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Maneuver target interception based on multiple model adaptive estimator

机译:基于多模型自适应估计器的机动目标拦截

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A maneuver target interception algorithm based on multiple model adaptive estimator (MMAE) is researched and a modified differential game guidance law is given. The efficiency of this simplified MMAE algorithm lies mainly in the exploitation of the special structure of the evader maneuver command hypothesis space to reduce the number of MMAE elemental filters running in parallel and to realize the reduction of the computational load. To realize the reduction of the miss distance resulting from the estimation delay, the modified differential game guidance law increases the lateral acceleration command for small values of time-to-go of the pursuer to the maximum available value by enhancing the gain of the command. The Monte Carlo simulations are carried out for the homing performance comparison and the results demonstrate the superiority and effective of the proposed methods.
机译:研究了基于多模型自适应估计器的机动目标拦截算法,给出了一种改进的差分博弈制导律。这种简化的MMAE算法的效率主要在于利用逃避机动指令假设空间的特殊结构来减少并行运行的MMAE元素滤波器的数量并实现计算量的减少。为了实现由估计延迟引起的错过距离的减小,通过提高指令的增益,改进的差分游戏制导律将用于追踪者的小时间间隔的横向加速度指令增加到最大可用值。进行了蒙特卡洛仿真,以进行寻的性能比较,结果证明了所提方法的优越性和有效性。

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