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.