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机构地区:[1]空军预警学院,湖北武汉430019
出 处:《现代防御技术》2015年第2期130-136,共7页Modern Defence Technology
基 金:国家自然科学基金项目(61102168)
摘 要:多平台多传感器良好协同的重要前提之一是其系统误差的配准,由于空中平台的运动和传感器类型的异质性使得配准问题更为复杂。首先构建了WGS-84坐标系下有偏观测模型,然后将最大似然配准(maximum likelihood registration,MLR)算法扩展到空基多运动平台异质传感器的配准。运用复合函数求导链式法则,推导出应用MLR算法时至为关键的传感器观测量对目标状态的雅克比矩阵。理论和仿真结果表明该方法可实现异质传感器配准,配准误差逼近其Cramer-Rao界。It is a precondition of coordinated operation for multi-platforms and multi-sensors to register these sensors,the registration problem will become more complex owing to airborne platforms' motion and dissimilar sensors. Firstly,the biased measurement model based on WGS-84( world geodetic system-84) coordinate system is constructed,and then the maximum likelihood registration( MLR) algorithm is extended to active sensor registration for multiple moving airborne platforms in WGS-84. By using the chain derivative rule of composite function,when MLR is applied,the key Jacobi matrix of sensor measurements to target state is derived. Theory analysis and simulation results show that the method can realize sensor registration,and the registration errors can approach the Cramer-Rao low bound.
关 键 词:异质传感器配准 最大似然配准 WGS-84 多运动平台
分 类 号:TN959.7[电子电信—信号与信息处理] TP301.6[电子电信—信息与通信工程]
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