An improvement for scanning radar 1 Regularized Azimuth Super-Resolution Imaging Method

Abstract

The invention discloses an improved L for scanning radar 1 Regularized azimuth super-resolution imaging method, applied in the field of radar imaging, in order to improve the traditional L 1 The anti-noise performance of the regularization algorithm in the actual working environment, the present invention first establishes the convolution model of the airborne scanning radar echo, and converts the forward-looking azimuth super-resolution imaging problem into a convolution inversion problem; then under the regularization framework , introduce L 1 The norm is used to represent the sparse prior information of the target, and the convolution inversion is transformed into a convex optimization problem; finally, the result of the truncated singular value decomposition method is used as the iterative initial item, and the iterative reweighted norm method is used to solve the objective function. The invention introduces the result of truncated singular value decomposition in the iterative initial item, greatly reduces the amplitude of the noise during the initialization process, and avoids the appearance of false targets caused by noise amplification during the iterative process. Compared with the traditional L 1 The regularization method effectively improves the robustness to noise and enhances the L 1 The practicality of regularization methods.

Description

technical field [0001] The invention belongs to the field of radar imaging, in particular to a forward-looking azimuth super-resolution imaging technology suitable for airborne scanning radar. Background technique [0002] Radar forward-looking imaging has important application value in fields such as all-weather autonomous landing and ground attack. However, the existing technologies such as synthetic aperture and Doppler sharpening are limited by the mechanism, and the azimuth resolution in front of the flight is low, and they do not have the forward-looking imaging capability. Therefore, it is necessary to explore new technical approaches to improve the azimuth resolution capability of forward-looking radar. [0003] In the document "Zhao, Kang, and Jianguo Wang."Improved wiener filter super-resolution algorithm for passive millimeter wave imaging."2011IEEE CIEInternational Conference on Radar, vol.2, pp.1768-1771.IEEE, 2011.", proposed A radar super-resolution imaging ...

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Problems solved by technology

However, due to the constraints of many factors such as operating distance, transmitting power, and environmental noise, the echo signal-to-noise ratio in the actual application environment is low, and this method is prone to false targets.

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