Space-based Sensor Online Calibration Based on Celestial Observations for Tracking Ballistic Missile Target
Yu Jian-guo① Liu Mei① Bao Jiu-hong② Yao Lu①
①(School of Electronics and Information Engineering, Harbin Inst. of Technology, Harbin 150001, China) ②(System Engineering, China State Shipbuilding Corporation, Beijing 100036, China)
Abstract：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.
2013, Vol. 35 
