An Improved Generalized Chirp Scaling Algorithm Based on Lagrange Inversion Theorem for High-Resolution Low Frequency Synthetic Aperture Radar Imaging

An Improved Generalized Chirp Scaling Algorithm Based on Lagrange Inversion Theorem for High-Resolution Low Frequency Synthetic Aperture Radar Imaging

The high-resolution low frequency synthetic aperture radar (SAR) has serious range-azimuth phase coupling due to the large bandwidth and long integration time. High-resolution SAR processing methods are necessary for focusing the raw data of such radar. The generalized chirp scaling algorithm (GCSA)...

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Bibliographic Details
Main Authors: Xing Chen, Tianzhu Yi, Feng He, Zhihua He, Zhen Dong
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
low frequency
high-resolution
large bandwidth
improved generalized chirp scaling (GCS)
Lagrange inversion theorem
range-dependent coupling
Online Access:https://www.mdpi.com/2072-4292/11/16/1874

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