多测速系统中系统误差实时估计与校准算法
梁小虎;朱武宣;张艳;赵华
【期刊名称】《飞行器测控学报》 【年(卷),期】2012(031)005
【摘要】The systematic errors of measurement equipment degrade tracking and filtering accuracy of space object tracking systems. This paper proposes a simplified mathematic model for the systematic errors of multiple range-rate measurement systems. The system errors are extended to state variables with augmented dimension UKF (Unscent-ed Kalman Filter) to jointly estimate the states of objects and systematic errors so as to calibrate the systematic errors and improve state estimation accuracy. Two scenarios with constant and linear time-varying errors are set for simulation and analysis of the algorithm under the condition that there exit only two types of errors of a master station and slave stations. Simulation results show that the proposed algorithm effectively calibrates systematic errors and improves tracking accuracy by at least 80% in both scenarios and the impact is significantly minimized when systematic errors are constant.%在实际目标跟踪系统中,测量设备都存在系统误差,会导致跟踪滤波精度显著下降.针对多测速系统,对其测速系统误差进行了简化数学建模；然后将其增广为状态变量,应用扩维无迹卡尔曼滤波对目标运动状态和系统误差进行联合估计,以实时校准系统误差、提高状态估计精度.在存在主副站2类系统误差的条件下,设定恒定和线性时变2类
多测速系统中系统误差实时估计与校准算法
