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机构地区:[1]北京理工大学宇航学院,北京100081 [2]北京电子工程总体研究所,北京100854
出 处:《现代防御技术》2017年第6期131-137,共7页Modern Defence Technology
摘 要:建立了基于改进Johnson判则的光学成像侦察卫星对地面机动目标检测概率模型。模型针对机动目标位置变化、运动速度与方向随机性等特点,提出了一种基于高斯分布的目标转移概率密度函数,用以评估卫星搜寻到目标的概率,将原适用于静态目标检测概率计算的Johnson判则,用于机动目标。通过Matlab/STK联合仿真,验证卫星对机动目标的覆盖情况和发现、识别和确认目标的概率性能。模型以发现、识别和确认目标的概率来描述光学成像侦察卫星对地面机动目标的侦察性能,卫星对地面机动目标的侦察性能可以作为规划机动目标行动方案的依据,有助于机动目标规避侦察。A probabilistic model for detecting the maneuvering target of the optical imaging reconnaissance satellites based on the modified Johnson criterion is established. Considering the randomness of maneuvering target velocity and direction introduction,a target transition probability density function based on Gaussian distribution is proposed to evaluate the probability of satellite search to target. The model applies Johnson criterion which is used to calculate the detection probability for static targets to the maneuvering target. Through the Matlab/STK simulation,the coverage to the maneuvering target and the probabilities of detecting,recognizing,and identifying targets are verified. The reconnaissance performance of the satellite is measured by the probabilities of detection,recognition,and identification to target. The reconnaissance performance of the satellite to the maneuvering target can be used as the basis for planning the maneuvering target action scheme,which can help the maneuvering target avoid the reconnaissance.
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