2D near field synthetic aperture radar image reconstruction method based on compressed sensing

Abstract

The present invention discloses a 2D near field synthetic aperture radar image reconstruction method based on compressed sensing. A synthetic aperture radar probe is employed to perform random undersampling of a detected target at a 2D measurement grid area, and collection data being far smaller than the quantity of sampling points of the 2D measurement grid area is obtained, so that efficiency ofdata collection can be greatly improved. When a compressed sensing imaging model is established, an l1 norm and a TV operator are employed as a penalty function to allow a reconstructed image to havemore sensitive prior information. The compressed sensing imaging model is subjected to image reconstruction by employing an improved conjugate gradient descent method, an iteration descent directionis estimated by employing a step size in search calculated by employing a predicted line search method and a gradient calculated by applying the compressed sensing model approximated by a smooth function, and therefore, a radar image with a size being the same as the 2D measurement grid area is effectively reconstructed in high quality.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and more specifically relates to a 2D near-field synthetic aperture radar image reconstruction method based on compressed sensing. Background technique [0002] Non-destructive testing refers to the inspection of the structure, nature, state, and type and nature of the internal and surface of the test piece with the help of modern technology and equipment without affecting the performance of the tested object and without damaging the internal organization of the tested object. , quantity, shape, position, size, distribution and changes thereof for inspection and testing. [0003] When scanning objects in the near field, it is necessary to choose a detection method with strong penetrability, non-contact, high real-time performance, low radiation energy, and good imaging quality to ensure that it does not damage the outside of the object. In this case, the specific morphological ch...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiencies in the prior art, to provide a 2D near-field synthetic aperture radar image reconstruction method based on compressed sensing, for solving the minimization problem of 2D synthetic aperture radar imaging, thereby reducing the running time of the algorithm, Improved speed and quality of image reconstruction

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