Self-focusing imaging method and system for circular synthetic aperture radar, and electronic equipment

Abstract

The embodiment of the invention provides a circular synthetic aperture radar self-focusing imaging method and system and electronic equipment. The method comprises the following steps: dividing an imaging region into a plurality of rectangular regions; for each of the plurality of rectangular regions, calculating a projection matrix for each pulse; performing image offset compensation on the projection matrix; performing phase error estimation and phase error compensation on the projection matrix after image offset compensation; and on the basis of the projection matrix after phase error compensation, obtaining a full-scene image of the imaging area through splicing. According to the invention, the envelope error and the phase error are compensated at the same time, the SAR imaging precision is improved, meanwhile, the imaging area is subjected to block processing, the influence of phase error space-variant characteristics on SAR imaging is reduced, and the requirement of SAR imaging for the storage space is lowered.

Description

technical field [0001] The invention relates to the technical field of radar imaging, in particular to a circular synthetic aperture radar self-focus imaging method, system and electronic equipment. Background technique [0002] Synthetic Aperture Radar (SAR) is a microwave active remote sensing device with all-weather and all-weather working characteristics, so it is widely used in military and civilian fields. In the traditional SAR working mode, the radar platform flies along a straight line and the synthetic aperture length is very limited, which causes common problems in SAR images such as overlapping, shadows, and perspective shortening. In order to solve these problems, a working mode of circular track SAR is proposed. [0003] Generally, the back projection algorithm (Back Projection, BP) is used to image the circular track SAR data, and the BP algorithm has high requirements on the accuracy of the terrain and the trajectory of the radar platform. At present, the a...

AI Technical Summary

Problems solved by technology

At present, the airborne GPS and inertial navigation system and open source DEM data are difficult to self-focus to meet the high-band circular SAR imaging requirements, so it is necessary to use self-focusing algorithm imaging

[0004] In the existing self-focusing BP imaging algorithm, only the phase error caused by the motion error is estimated and compensated, and the compensation for the envelope error is ignored, which will lead to inaccurate compensation. In addition, the spatial variability of the phase error will also affect the The self-focusing BP effect has an impact, which makes the SAR image focusing effect not ideal

At the same time, the existing SAR image focusing process has a large overhead and requires relatively high computer memory

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