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Remote Sens. 2018, 10(9), 1404; https://doi.org/10.3390/rs10091404

Imaging Simulation for Synthetic Aperture Radar: A Full-Wave Approach

1
Department of Communication Engineering, National Central University, Taoyuan 32001, Taiwan
2
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
3
Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
*
Author to whom correspondence should be addressed.
Received: 19 July 2018 / Revised: 5 August 2018 / Accepted: 29 August 2018 / Published: 3 September 2018
(This article belongs to the Special Issue Radar Imaging Theory, Techniques, and Applications)
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Abstract

Imaging simulation of synthetic aperture radar (SAR) is one of the potential tools in the field of remote sensing. The echo signal in imaging simulation based on the point target model cannot be linked to practical scenes due to the model being a simple mathematical form, stating only the synthetic process and lacking the physical process based on electromagnetic theory. In this paper, the full-wave method is applied to include the electromagnetic effects in raw data generation, and then a refined omega-K algorithm is used to perform image focusing. According to the proposed method, the focused images not only demonstrate the difference under dielectric constant variation but also present the diversified interaction among the targets with the spacing change. In addition, the images are simulated in different observation modes and bandwidths to provide a satisfactory reference for the design of system parameters. The simulation results from the full-wave method also compare well with chamber experiments. The simulation of SAR imaging based on a full-wave method offers more complete recovery of scattering information and is useful in designing future novel SAR systems and in speckle reduction analysis. View Full-Text
Keywords: synthetic aperture radar; full wave; imaging; simulation synthetic aperture radar; full wave; imaging; simulation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ku, C.-S.; Chen, K.-S.; Chang, P.-C.; Chang, Y.-L. Imaging Simulation for Synthetic Aperture Radar: A Full-Wave Approach. Remote Sens. 2018, 10, 1404.

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