Improved L1 regularized azimuth super-resolution imaging method for scanning radar

Abstract

The invention discloses an improved L1 regularized azimuth super-resolution imaging method for a scanning radar. The improved L1 regularized azimuth super-resolution imaging method is applied to the field of radar imaging. In order to improve the anti-noise performance of a traditional L1 regularization algorithm in an actual working environment, the improved L1 regularized azimuth super-resolution imaging method comprises the steps of: firstly, establishing an airborne scanning radar echo modeling convolution model, and converting a forward-looking azimuth super-resolution imaging problem into a convolution inversion problem; secondly, introducing an L1 norm to represent sparse prior information of a target under a regularization framework, and converting the convolution inversion probleminto a convex optimization problem; and finally, regarding a result processed by means of a truncated singular value decomposition method as an iteration initial term, and solving an objective function by adopting a method of iterating reweighting norms. According to the improved L1 regularized azimuth super-resolution imaging method, the result of truncated singular value decomposition is introduced into the iteration initial term, thus the magnitude of noise is significantly reduced in the initialization process, the occurrence of false targets caused by noise amplification in the iterationprocess is avoided, the robustness to noise is effectively improved and the practicability of the L1 regularization method is enhanced compared with the traditional L1 regularization method.

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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