Multi-layer co-sparseness-based inverse synthetic aperture radar high-resolution imaging method

Abstract

The invention relates to a multi-layer co-sparseness-based inverse synthetic aperture radar high-resolution imaging method. The imaging process of the imaging method includes the following steps that: motion compensated and distance compressed echo data are inputted; the analytical operator of each distance unit of the echo signals is learned, and the echo data are de-noised; and after an optimal resolution operator and de-noised echo signals are obtained, a modified OMP algorithm is adopted to restore an ISAR (inverse synthetic aperture radar) image. During the whole imaging process, the imaging process of the method of the invention is divided into a plurality of stages; and a low-resolution ISAR image obtained at the previous stage is converted to an image in the data domain through inverse Fourier transformation, and the image is adopted as the input as the next stage. With the method of the invention adopted, the azimuth resolution of each stage is improved compared with the previous stage. The method of the invention can be used for the ISAR target imaging of sparse conditions and has strong robustness to noises.

Description

Inverse synthetic aperture radar high-resolution imaging method based on multi-layer co-sparse technical field The invention belongs to the technical field of communication, and further relates to a multi-layer co-sparse based inverse synthetic aperture radar high-resolution imaging method in the technical field of radar signal processing. The present invention is aimed at the high-resolution imaging method of sparse ISAR targets within a short CPI, and adopts a multi-layer co-sparse analytical model to realize high-resolution inverse synthetic aperture radar imaging, so as to solve the problem that the traditional ISAR imaging method is not robust to noise, and can be applied In the later target classification and recognition work. Background technique In actual military applications, high-resolution inverse synthetic aperture radar ISAR images can provide great convenience for subsequent target recognition and classification work, so high-resolution inverse synthetic ape...

AI Technical Summary

Problems solved by technology

Aiming at the problem of low imaging resolution of inverse synthetic aperture radar in the above prior art, the present invention proposes a high-resolution imaging method of inverse synthetic aperture radar based on multi-layer co-sparseness, through analytic operator learning and signal denoising, so that Improved Resolution and Robustness of Inverse Synthetic Aperture Radar Imaging

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