Fast Fitting Algorithm of Non-cooperative Space Object’s TLE Parameters
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摘要: 针对空间目标TLE拟合过程中可能出现的奇点问题，提出了基于无奇异变换的空间目标双行轨道根数（TLE）生成算法. 为提高观测平台对空间目标状态估计效率，提出带有自适应遗忘因子的非线性最小二乘递推算法，利用最速下降法在线修正遗忘因子，使得估计值有较快的跟踪速度和较小的稳态误差. 仿真结果表明，该TLE生成算法的数据处理速度和轨道预报误差满足要求，可用于低轨目标的天基监视.Abstract: Due to the singularity existence in the iterative approximation procedure, a new Two-Line Elements (TLE) sampling fitting method is put forward according to the non-singular transformation of orbital elements. To improve the data-processing efficiency of space-based observation platform to the non-cooperative space target, the TLE fitting algorithm introduces the adaptive forgetting factor recursive least-squares algorithm. Numerical simulations indicate that the method can enhance the iterative rapidity of convergence and the accuracy of forecasting orbit, especially for near-Earth space objects. The fitting method can be applied to the tracking system of space-based observation platform to the near-Earth orbit target.
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