基于星光测量天基传感器实时定标在弹道目标跟踪应用  

Space-based Sensor Online Calibration Based on Celestial Observations for Tracking Ballistic Missile Target

作　　者：俞建国[1] 刘梅[1] 包玖红[2] 姚璐[1] 

机构地区：[1]哈尔滨工业大学电子与信息工程学院,哈尔滨150001 [2]中国船舶工业集团船舶系统工程部,北京100036

出　　处：《电子与信息学报》2013年第4期915-920,共6页Journal of Electronics & Information Technology

摘　　要：天基传感器的系统偏差妨碍了对来袭目标的准确识别与定位,而该系统偏差修正存在着其特有的难点:无法现场调试及系统偏差随着轨道变化导致卫星温度冷热交替呈周期性变化。该文结合卫星姿态确定系统,首先利用光电传感器获得恒星的星光矢量测量值并时刻监测星光矢量与导航星表中预期值的偏差;其次在获得系统偏差测量值基础上推导了偏差模型,设计了基于BCSRF(Bias Corrected Shift Rayleigh Filter)自由段弹道目标跟踪滤波器。仿真实验表明该滤波器能够实现在线定标功能,同等条件下与传统的交叉定位和UKF(Unscented Kalman Filter)滤波方法相比,有效提高了自由段弹道目标的跟踪精度。The systemic bias of space-based sensor hinders accurate threat identification and target location of coming targets. The correction of this systematic bias has unique difficulties including unable to in-situ commissioning and systemic bias periodically change as the satellite undergoes a cyclical heating and cooling due to its orbit. Combining the satellite altitude determination system, this paper firstly obtains the star vector measurement from electro-optical sensor and monitors the deviation of these measurements from expected value in navigation star table. Then, on the basis of systemic bias, this paper derives bias model and design the Bias Corrected Shift Rayleigh Filter （BCSRF）. Simulation results show that the proposed filter can achieve in-situ calibration, and yields significant improvements in tracking ballistic targets compared with classical intersection and Unscented Kalman Filter （UKF） methods.

关 键 词：目标跟踪 系统偏差 实时定标 弹道目标 自由段跟踪 

分 类 号：TN95[电子电信—信号与信息处理] TJ765.4[电子电信—信息与通信工程]