Synthetic aperture radar (SAR) raw data simulation, operating under various scenarios, and realistic environments, are necessary for analyzing and verifying the performance aspects of SAR systems and the various algorithms used in them. In this article, we propose a method to simulate the raw data generated by multiple-input multiple-output video synthetic aperture radar (MIMO ViSAR) from a speckled scene, using beat frequency division (BFD) frequency-modulated continuous wave (FMCW). Using an optical image as a reflectivity map for a realistic scene, we first multiply a speckle noise with this image to generate a speckled reflectivity map. We then compute the two-dimensional convolutions of a SAR point spread function of a MIMO ViSAR system with the speckled reflectivity map to generate a complex SAR image. Finally, the SAR raw data is generated through inverse processing of the MIMO ViSAR system. We use the synthesized raw data to reconstruct SAR images, based on our previously proposed MIMO ViSAR signal-processing algorithm, to demonstrate and verify the effectiveness of the proposed method.
Bibliographical noteFunding Information:
This research was supported by the Ministry of Science, ICT and Future Planning (MSIP), Korea, under the “ICT Consilience Creative Program” (IITP-2017-2017-0-01015) supervised by the Institute for Information & Communications Technology Promotion (IITP) and the Civil Military Technology Cooperation Program. This work was partly supported by an IITP grant funded by the Korea government(MSIT) (No. 2017-0-00678, A Development of SAR for small sized UAV).
All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics
- Condensed Matter Physics
- Electrical and Electronic Engineering