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.
出处
《电子与信息学报》
EI
CSCD
北大核心
2013年第4期915-920,共6页
Journal of Electronics & Information Technology
关键词
目标跟踪
系统偏差
实时定标
弹道目标
自由段跟踪
Target tracking
Systemic bias
In-situ calibration
Ballistic target
Post boost tracking
