High-resolution Range Profile Recognition Technology Based On SAR Images

High-resolution range profile can reflect the radial information of the target which has the advantages of low computational complexity and easy acquisition.It is widely used in high-resolution radar target recognition.In this paper,the high-resolution range profile recognition algorithm assisted by SAR image is studied.This paper mainly discusses two kinds of one-dimensional range profile matching recognition algorithms based on SAR image Fourier transform and SAR image scattering center recovery.A one-dimensional range image recognition algorithm based on projected scattering point sequences is proposed,and the performance of each algorithm is verified by simulation experiments.In chapter ?,based on the target scattering center model and frequency stepping principle in high frequency region,the imaging principle of high resolution one-dimensional range image is briefly deduced,and the characteristics of attitude sensitivity and amplitude sensitivity of distance image and its solution are analyzed.Based on the turntable imaging model,the principle of SAR imaging is derived and the target characteristics of SAR images are analyzed.We introduces the acquisition of the image to be identified and the template data of this target,and gives a preprocessing method for the data.In chapter ?,based on the principle of Fourier transform,the transformation relationship between one-dimensional range image and two-dimensional SAR image is analyzed.A one-dimensional range profile recognition algorithm based on SAR image Fourier transform is proposed.Then,based on the principle of target scattering center,the scattering center of the target is extracted from the SAR image,and the one-dimensional scattering point sequence obtained by projection is restored to the distance image.Then,the one-dimensional range profile matching recognition algorithm based on SAR image scattering center recovery is proposed.Through the simulation experiments of two recognition algorithms,the feasibility of each method is verified,and the adaptability of the two methods to angular migration sensitivity and translation sensitivity is verified.Finally,from the perspective of improving the recognition efficiency,the idea of directly matching the projected scattering point sequence with the range profile to be identified is proposed.After the theoretical derivation of normalization and matching rules,a one-dimensional range profile recognition algorithm based on projected scattering point sequences is proposed.The feasibility of the identification method is verified by simulation statistics experiments.The adaptability of the algorithm to angular migration sensitivity and translation sensitivity is verified.The anti-noise performance of the algorithm and the robustness to different imaging bands and different resolutions are verified.It is concluded that the one-dimensional range image matching recognition algorithm based on the projected scattering point sequence has the advantages of fast calculation speed and good recognition performance.It is concluded that the one-dimensional range profile matching recognition algorithm based on the projected scattering point sequence has the advantages of fast calculation speed and good recognition performance.This algorithm can better adapt to angular migration and translation sensitivity,and also has certain anti-noise performance,adaptability to frequency and resolution,and has certain practical application value.