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Journal of Applied Remote Sensing • Open Access

Imaging method for highly squinted synthetic aperture radar with under-sampled echo data
Author(s): Fu-fei Gu; Qun Zhang; Yong-an Chen; Ying Luo

Paper Abstract

The amount of echo data is very large in highly squinted synthetic aperture radar (SAR) imaging with high resolution. To solve this problem, an imaging method for highly squinted SAR with under-sampled echo data based on compressed sensing (CS) is put forward. First, the echo signal model of highly squinted SAR is analyzed and a nonlinear chirp scaling (NCS) imaging method with the Nyquist-sampled echo data is proposed, with which the range walk is corrected and the range-azimuth coupling is mitigated. Based on the imaging method, the NCS operator is established. Combining the NCS operator and CS theory, a highly squinted SAR imaging scheme is formulated. The modified iterative thresholding algorithm is utilized to solve the imaging scheme, which forms a highly squinted SAR imaging method. With the proposed method, just a small amount of imaging data is required for highly squinted SAR imaging. Finally, the effectiveness of the proposed method is proven by the simulations.

Paper Details

Date Published: 19 June 2015
PDF: 15 pages
J. Appl. Remote Sens. 9(1) 097495 doi: 10.1117/1.JRS.9.097495
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Fu-fei Gu, Air Force Engineering Univ. (China)
Qun Zhang, Air Force Engineering Univ. (China)
Fudan Univ. (China)
Collaborative Innovation Center of Information Sensing and Understanding (China)
Yong-an Chen, Air Force Engineering Univ. (China)
Ying Luo, Collaborative Innovation Center of Information Sensing and Understanding (China)
Xidian Univ. (China)


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