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机构地区:[1]成都飞机设计研究所,成都610041 [2]浙江大学航空航天学院,杭州310027
出 处:《电光与控制》2011年第7期10-12,31,共4页Electronics Optics & Control
基 金:航空科学基金(200803114458)
摘 要:提出了一种机载传感器目标探测时间间隔优化管理方法。该方法考虑目标状态估计精度,采用交互多模型滤波算法进行传感器量测信息滤波,进而实时计算传感器目标探测跟踪的信息矩阵。在此基础上,搜索计算传感器在一定探测目标精度下的探测最佳间隔时间,实现机载传感器探测资源的有效配置和管理。进行了该传感器时间间隔优化管理算法的仿真研究,结果表明提出的传感器时间间隔管理算法能够快速、有效地完成传感器能量的合理配置和管理。A method for airborne sensor interval management was presented.In this method,the estimation accuracy of target state was taken into consideration,and the Interacting Multiple Model(IMM) external Kalman filtering was used to filter the target data from the airborne sensors.The airborne sensor information matrix was calculated out in real time by using the filtered data.Based on which the optimum intervals for sensor detecting with given detection precision was obtained,which was used for effective energy configuration and management of airborne sensors.In this paper,Section 1 presents the mathematical model of the IMM external Kalman filtering;Section 2 describes the mathematical model of the information matrix;and Section 3 explains the steps of the airborne sensor interval optimization algorithms in detail.Simulations were carried out to the optimization management algorithm,and the result showed that the management algorithm can realize rational configuration and management of sensor energy rapidly and effectively.
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