SAR (Synthetic Aperture Radar) imaging method based on weighted sparsity bayesian recovery via iterative minimum algorithm

Abstract

The invention discloses an SAR (Synthetic Aperture Radar) imaging method based on a weighted sparsity bayesian recovery via iterative minimum (WSBRIM) algorithm. The SAR imaging method is characterized in that a linear measurement matrix of a scattering coefficient in a raw echo signal and observation scene target space of a linear array SAR is established by aiming at the characteristic that a primary scattering object in a linear array SAR observation scene target space is sparse in space. The SAR imaging method comprises the following steps: weighing an L1 norm in a cost function on the basis of an SBRIM algorithm; carrying out pulse compression on distance; dividing equidistant surfaces; then carrying out sparsity reconstruction on each equidistant two-dimensional plane. Compared witha traditional method, the SAR imaging method disclosed by the invention has the characteristics of high reconstruction precision and high operation efficiency, and can be suitable for the fields of SAR imaging, geological remote sensing and the like.

Description

[0001] technical field [0002] The technical invention belongs to the technical field of radar, and in particular relates to the technical field of synthetic aperture radar (SAR) imaging. Background technique [0003] As an active radar operating in the microwave band, Synthetic Aperture Radar (SAR) has all-weather and all-weather imaging capabilities, that is, it can image anytime, anywhere, whether it is day or night, sunny or thunderstorm. , to overcome the shortcomings of optical and infrared systems that cannot be imaged at night and in complex weather conditions. Traditional SAR imaging generally only has two-dimensional resolution. In places with relatively large ups and downs, such as steep peaks, canyons, and tall buildings in cities, the distortion of traditional SAR imaging (shadow occlusion effect, spatial blur, top-bottom Inversion, etc.) lead to the loss of some important information in space (such as height), so it is very necessary to be able to perform three...

AI Technical Summary

Problems solved by technology

[0006] The resolution of the traditional SAR imaging method based on matched filtering is limited. Specifically, the resolution in the range direction is affected by the signal bandwidth, the resolution along the track is affected by the length of the synthetic aperture, and the resolution in the cross track is affected by the linear array. Antenna Effect

Especially the resolution of the cutting track, if it is difficult to improve according to the traditional method

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