轨道不平顺测量数据总会受到不同程度的污染。轨道谱的传统周期图估计和时间序列AR模型估计结果都对污染较敏感,算法缺乏鲁棒性。用鲁棒估计新理论对轨道不平顺随机信号进行鲁棒—稳固谱估计,并对估计的轨道谱曲线与传统轨道谱曲线进行对比,同时对观测数据加入脉动噪声后的轨道谱进行估计。结果表明,鲁棒估计谱对原始数据的干扰要求低,具有鲁棒稳健性。 Uneven track measurement data will always be different levels of pollution. The traditional periodic map estimation of orbital spectrum and the time series AR model estimation are both sensitive to pollution and the algorithm lacks robustness. The new robust theory is used to estimate the robust-robust spectrum of the track irregular signal, and the estimated orbital spectrum is compared with the traditional orbit spectrum. At the same time, the orbital spectrum of the observed data is estimated with the addition of pulsating noise. The results show that the robust estimation spectrum has low interference to the original data and robust robustness.