For the case that two pursuers intercept an evasive target, the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target, which performs a bang For the case that two pursuers intercept an evasive target, the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target, which performs a bang-bang evasive maneuver with a random switching time. Combined Fast multiple model adaptive estimation (Fast MMAE) algorithm, the cooperative guidance law takes detection configuration affecting the accuracy of interception into consideration. Introduced the detection error model related to the line-of-sight (LOS) separation angle of two interceptors, an optimal cooperative guidance law solving the optimization problem is designed to modulate the LOS separation angle to reduce the estimation error and improve the interception performance. Due to the uncertainty of the target bang-bang maneuver switching time and the effective fitting of its multi-modal motion, Fast MMAE is introduced to identify its maneuver switching time and estimate the acceleration of the target to track and intercept the target accurately. The designed cooperative optimal guidance law with Fast MMAE has better estimation ability and interception performance than the traditional guidance law and estimation method via Monte Carlo simulation.

对于两个追击者拦截规避目标的情况，追击者采取的协同策略和状态估计方法会严重影响对目标的制导精度，造成轰鸣。追击者采用的状态估计方法会严重影响目标的制导精度，目标执行具有随机切换时间的bang-bang规避机动。结合快速多模型自适应估计（Fast MMAE）算法，协同制导律考虑了影响拦截精度的检测配置。介绍了与两个拦截器的视线（LOS）分离角相关的检测误差模型，设计了解决优化问题的最优协同制导律，对LOS分离角进行调制，以减少估计误差，提高拦截性能。由于目标bang-bang机动切换时间的不确定性及其多模态运动的有效拟合，引入Fast MMAE识别其机动切换时间并估计目标加速度以准确跟踪和拦截目标。设计的与Fast MMAE协同优化制导律比传统的制导律和蒙特卡罗模拟估计方法具有更好的估计能力和拦截性能。由于目标bang-bang机动切换时间的不确定性及其多模态运动的有效拟合，引入Fast MMAE识别其机动切换时间并估计目标加速度以准确跟踪和拦截目标。设计的与Fast MMAE协同优化制导律比传统的制导律和蒙特卡罗模拟估计方法具有更好的估计能力和拦截性能。由于目标bang-bang机动切换时间的不确定性及其多模态运动的有效拟合，引入Fast MMAE识别其机动切换时间并估计目标加速度以准确跟踪和拦截目标。设计的与Fast MMAE协同优化制导律比传统的制导律和蒙特卡罗模拟估计方法具有更好的估计能力和拦截性能。