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)...
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: | |
Online Access: | https://www.mdpi.com/2072-4292/11/16/1874 |
Similar Items
-
Focus Improvement of Airborne High-Squint Bistatic SAR Data Using Modified Azimuth NLCS Algorithm Based on Lagrange Inversion Theorem
by: Chuang Li, et al.
Published: (2021-05-01) -
Photonics-Based High-Resolution 3D Inverse Synthetic Aperture Radar Imaging
by: Xingwei Ye, et al.
Published: (2019-01-01) -
Improved Chirp Scaling Algorithm for Processing Squinted Mode Synthetic Aperture Sonar Data
by: Fan Naiqiang, et al.
Published: (2016-12-01) -
Noise-robust range alignment method for inverse synthetic aperture radar based on aperture segmentation and average range profile correlation
by: Yue Lu, et al.
Published: (2021-01-01) -
Phase calibration for ideal wideband chirp in satellite-based synthetic aperture radar
by: Kyeongrok Kim, et al.
Published: (2022-12-01)