A Study on Low Speed Rotating Space Target Identification Based on Narrow Band RCS Series

The RCS sequence of space moving target can reflect the attitude characteristics of space target. According to the change law of RCS sequence of space moving target, this paper first simulates and generates the RCS sequence of low-speed rotating space target, and then uses the methods of wavelet transform, Fourier transform and statistical feature extraction of RCS sequence to extract the features of RCS sequence of low-speed rotating space target. Finally, machine learning classification algorithms such as naive Bayes, support vector machine, random forest classification and logistic regression algorithm are used to identify the RCS sequence of low-speed rotating space targets.