Wavenumber domain algorithm based on the principle of chirp scaling for SAR imaging

被引：0
|
作者：
Wei W. [1 ]
Zhu D. [1 ]
Wu D. [1 ]
机构：
[1] Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
来源：
Journal of Radars | 2020年 / 9卷 / 02期
基金：
中国国家自然科学基金;
关键词：
High-resolution imaging; Modified Range Migration Algorithm(RMA); Principle of Chirp Scaling(PCS); Subswath division; Synthetic Aperture Radar(SAR);
D O I：
10.12000/JR19112
中图分类号：
学科分类号：
摘要：
As a frequency-domain algorithm for Synthetic Aperture Radar (SAR) imaging, the Range Migration Algorithm (RMA) can theoretically achieve optimal performance. However, because its Stolt mapping is performed using pixel-by-pixel convolution, the computational efficiency of RMA is inadequate for massive SAR data processing requirements. In this paper, we propose a modified RMA based on the Principle of Chirp Scaling (PCS). First, SAR echo data is divided along the range direction, and the subswath signal is compensated by the second-order range-azimuth coupling term and high-order terms at the reference distance. Then, the nonlinear Stolt mapping is modified to become linear. Finally, Stolt interpolation is realized using PCS to efficiently resample the processed data. Demonstrating both well-focused performance and high computational efficiency, the proposed PCS-RMA employs only fast Fourier transforms and complex vector multiplication operations to achieve modified Stolt mapping. The processing results of several simulation data and X-band-measured airborne SAR data with a pulse bandwidth of 1.2 GHz verify the effectiveness of the proposed algorithm. The proposed algorithm can also be employed for the rapid processing of missile-borne, spaceborne, and drone-borne SAR data. © 2020 Institute of Electronics Chinese Academy of Sciences. All rights reserved.
引用
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页码：354 / 362
页数：8
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