A linear array SAR sparse reconstruction imaging and phase error correction method

Abstract

The invention discloses a linear array SAR sparse reconstitution imaging and model phase error correction method. According to the characteristic that scattering targets are sparse in an actual linear array three-dimensional SAR imaging scene space, the linear array SAR sparse reconstitution imaging and model phase error correction method establishes a linear measurement matrix of linear array SAR original echo signals and scattering coefficients in a scene target space, phase error factors existing in the linear array three-dimensional SAR actual measurement are also taken into account, a scattering phase vector between a phase error matrix and a scene target is estimated through iterative optimization, imaging processing of the sparse targets in a linear array SAR three-dimensional space is realized, the effect on imaging by phase errors is restrained, and the stability of linear array SAR sparse reconstitution imaging and the imaging precision of a linear array SAR are improved. The linear array SAR sparse reconstitution imaging and model phase error correction method can be applied to synthetic aperture radar (SAR) imaging, earth remote sensing and other fields.

Description

Technical field: [0001] 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: [0002] The linear array three-dimensional synthetic aperture radar (Linear array SAR) imaging system is a new type of synthetic aperture radar system that installs the linear array antenna on the moving platform. Linear array 3D SAR can realize 3D imaging of scene targets by transmitting bandwidth signals and using linear array antennas and motion platforms to synthesize 2D virtual arrays. Compared with traditional synthetic aperture radar (SAR) systems, linear array 3D SAR has the following unique advantages: 1) 3D imaging capability, providing richer target information, which is more conducive to target feature extraction and recognition; 2) multi-mode working ability, In addition to the traditional side-view mode, it can also work in the down-view mode and front-view mo...

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Problems solved by technology

As far as I know, there is no linear array 3D SAR sparse reconstruction imaging method that considers the phase error of the echo signal measurement model.

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