基于小波分析的目标轨道机动自主检测方法

Autonomic detection method of space target orbit maneuver based on wavelet analysis

空间目标的轨道机动是与相对距离变化率的突变联系在一起的.测量值是通过星载激光雷达得到的目标的相对距离,特征量是采用微分平滑处理获得的相对距离变化率.由于测量噪声的影响,机动引起的特征量突变被淹没在噪声中.利用小波分析的多尺度分解,就能够把淹没在噪声中的特征量变化揭示出来.为了满足星上自主运算的要求,提出的机动检测方法就是基于对小波分解后信号的处理,通过对相关系数阈值的比较来检测特征量的突变.仿真结果验证了该检测方法的可行性和有效性.

The change rate of relative distance is a character signal of orbit maneuver of space target. Relative distance was measured by laser radar, and the change rate of relative distance was calculated by difference of relative distance. The measure noise was enlarged so the character signal was submerged in the noise. The wavelet analysis in differential scale was used to keep track of time and frequency information of the character signal. With the scale zoom out, the true signal was increased and noise was decreased. The existence of orbit maneuver can be judged by wavelet analysis in differential scale. In order to meet the requirements of autonomic computing on the satellite, the detection method applied correlation coefficient threshold to identification of orbit maneuver. The feasibility and effectiveness were verified by computer numerical simulation.