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空间目标的轨道机动往往隐藏在测量噪声中,不容易被识别出来.轨道机动可以引起机械能的突变,用空间目标与航天器的单位质量机械能差作为机动识别的特征信号,不会引入航天器本身的定轨误差.用小波多尺度分解处理含噪声的特征信号,对分解后的数据利用算法识别是否存在机动.仿真结果表明,本文提供的方法能有效识别空间目标的轨道机动.
The orbital maneuver of the space target is often hidden in the measurement noise and can not be easily identified.The orbital maneuver can cause the abrupt change of mechanical energy, which is characterized by maneuverable identification of the spacecraft and the mass energy per unit mass of the spacecraft, without introducing the spacecraft itself The orbital error of wavelet transform is analyzed by wavelet multiscale decomposition and the algorithm is used to identify the existence of maneuvering of the decomposed data.The simulation results show that the proposed method can effectively identify the orbital maneuver of the space target.