论文部分内容阅读
在对天基光学监视跟踪特点进行分析的基础上,提出样点状态转换修正球坐标-Sigma点卡尔曼滤波(MSC-SPKF)方法以实现对空间目标的三维被动跟踪。利用修正球坐标系和无迹变换(UT)分别在仅测角被动跟踪和获取非线性系统状态二阶矩方面的优势,选择在修正球坐标状态空间内进行Sigma点采样,并利用状态空间转换完成样点矢量非线性预测,最后在修正球坐标空间内完成滤波更新,并给出相应的初始化方法。仿真结果表明该方法在收敛性和稳健性上更有优势。
Based on the analysis of the characteristics of space-based optical monitoring and tracking, this paper proposes a sample point-state-aided correction of the spherical-sigma point Kalman filter (MSC-SPKF) method to realize the three-dimensional passive tracking of the space target. Using the advantages of both the modified spherical coordinate system and the unscented transformation (UT) in passive angle-only tracking and obtaining the second-order moment of nonlinear system state respectively, the Sigma point sampling in the modified spherical coordinate state space is selected and the state space transformation Complete the non-linear prediction of the sample vector, and finally complete the filtering update within the revised spherical coordinate space, and give the corresponding initialization method. Simulation results show that this method is more advantageous in terms of convergence and robustness.