Research On Space Target HRRP Recognition And Micro-motion Feature Extraction Methods

The use of High Resolution Range Profile(HRRP)and Micro-motion features of space target are hot topics in the field of radar target recognition.This thesis mainly focuses on these two aspects.The main contents of this article are summarized as follows :Firstly,there are two major problems in the recognition of satellite targets:1)Low Signal to Noise Ratio(SNR)test samples may worsen the recognition performance;2)Large amount of templates may lead to huge calculation burden at the test stage.By using Bayesian sparse representation,the HRRP data are denoised and the denoising performance is quantitatively analyzed with reconstruction error.We illustrate the influence of denoising preprocessing on recognition performance in the simulation experiments.By using the azimuth information,the test denoised sample can be recognized more effectively.It not only reduces the calculation burden,but also can improve the recognition rate.The effectiveness of the recognition algorithm is verified by the simulation experiments.Secondly,we study on micro-Doppler time-frequency curve extraction.In comparison with cone shaped target,the frustum of a cone shaped target has more scattering points.As a result,the traditional method which firstly extracts frequency points and then associates the frequency points to fit micro-Doppler curve,is not applicable.This thesis firstly illustrates the correctness of the equivalent scattering point model through the time-frequency analysis of the electromagnetic echo from the frustum of a cone target,and then makes an analysis on the occlusion effect,which is related to the target size and radar line-of-sight.Since the generalized parametric time-frequency analysis has high time-frequency resolution,our method utilizes the appropriate form of kernel function and multi-component signal decomposition for extracting each scatter's time-frequency curve.The target parameters are estimated based on the frequency curves.The effectiveness of the method is demonstrated in the simulation experiments.