Hard threshold OMP (orthogonal matching pursuit)-based linear array SAR (synthetic aperture radar) sparse imaging method

Abstract

The invention provides a hard threshold OMP (orthogonal matching pursuit)-based linear array SAR (synthetic aperture radar) sparse imaging method. A linear measurement matrix of original echo signals of a linear array SAR and scattering coefficients in a target space of an observed scene is established for the characteristic that main scattering targets are spatially sparse in the target space of the observed scene of the linear array SAR, and contrast between maximum and minimum target scattering coefficients and a target scattering coefficient change rate are used as iteration ending conditions for the iteration processing of a hard threshold OMP algorithm, so that the dependence of a conventional OMP algorithm on the number of the main scattering targets in linear array SAR sparse imaging is overcome. Compared with a conventional OMP algorithm-based linear array SAR sparse imaging method, so that the method has the advantages that the number of the main scattering targets in the target space of the observed scene is not required to be known, and the method is more applicable to the linear array SAR sparse imaging when the number of the main scattering targets is unknown under actual conditions; the imaging accuracy of the linear array SAR is improved. The method can be applied to the fields of SAR imaging, earth remote sensing and the like.

Description

technical field [0001] The technical invention belongs to the field of radar technology, and in particular relates to the field of synthetic aperture radar (SAR) imaging technology. Background technique [0002] Traditional Synthetic Aperture Radar (SAR) uses the linear motion of a single antenna to synthesize a one-dimensional virtual linear array antenna to obtain high resolution in the azimuth direction, and then uses pulse compression technology to obtain high resolution in the radar line of sight direction, thereby realizing two-dimensional imaging of the observation scene . However, due to the terrain occlusion shadow effect and symmetrical blurring problems during side-view imaging, 2D SAR cannot obtain satisfactory imaging results in complex undulating terrains such as cities, mountains, and canyons. The basic principle of 3D SAR is to synthesize a virtual 2D area array antenna through antenna movement to obtain 2D high resolution in the plane of the array, and then...

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Problems solved by technology

According to my knowledge, there is currently no linear SAR sparse reconstruction imaging method based on hard threshold OMP

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