학술논문

A Method of Subaperture Division in CSAR Imaging
Document Type
Conference
Source
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Geoscience and Remote Sensing Symposium IGARSS , 2021 IEEE International. :5135-5138 Jul, 2021
Subject
Aerospace
Geoscience
Photonics and Electrooptics
Signal Processing and Analysis
Adaptation models
Image segmentation
Simulation
Imaging
Scattering
High-resolution imaging
Geoscience and remote sensing
circular synthetic aperture radar(CSAR)
polar format algorithm (PFA)
sub-apertures divide
Language
ISSN
2153-7003
Abstract
This paper proposes an imaging algorithm with adaptive aperture energy division. This method is suitable for circular synthetic aperture radar (CSAR). The algorithm is an extension of the traditional CSAR polar format algorithm (PFA). Firstly, to avoid the loss of image detail information caused by the mismatch between the aperture size and the energy distribution in the traditional self-aperture division, a method based on the aperture energy to divide the sub-aperture is proposed. Then, according to the PFA algorithm image the sub-apertures separately, and perform incoherent fusion of the imaging results to quickly obtain high-resolution imaging results. Finally, simulation results validate the feasibility of the proposed approach.