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Simulation and Algorithm Implementation of Synthetic Aperture Radar (SAR) for Imaging Applications
In the context of the SwissChips program, CSEM is developing an on-chip FMCW G-band (240 GHz) radar in CMOS, which achieves very high spatial resolution and is ideal for high-resolution imaging. A transmitting antenna emits an electromagnetic wave, and a receiving antenna collects the reflected waves from a target. The antennas are moved to scan the spatial response of the target. Back projection algorithms help to reconstruct the target images from the reflection responses.
This will involves:
• Introductory study of FMCW radar sensor principles
• Familiarization with patch antennas using HFSS
• Simulations of antennas and targets in HFSS
• Survey of back projection algorithms
• Coding in Python of chosen back projection algorithm to generate target images
This will involves: • Introductory study of FMCW radar sensor principles • Familiarization with patch antennas using HFSS • Simulations of antennas and targets in HFSS • Survey of back projection algorithms • Coding in Python of chosen back projection algorithm to generate target images
The objective of the MSc project is to provide realistic antenna and target simulations and to define back projection algorithms to reconstruct the corresponding images. Radar antennas and targets need to be created in the electromagnetic simulation tool (HFSS) to emulate realistic reflection data. The antennas will be moved in the simulation to model the synthetic aperture. Back projection algorithms will be developed in Python to generate images of the targets. The developed algorithms will subsequently be applied once the physical G-band radar sensor is ready.
The objective of the MSc project is to provide realistic antenna and target simulations and to define back projection algorithms to reconstruct the corresponding images. Radar antennas and targets need to be created in the electromagnetic simulation tool (HFSS) to emulate realistic reflection data. The antennas will be moved in the simulation to model the synthetic aperture. Back projection algorithms will be developed in Python to generate images of the targets. The developed algorithms will subsequently be applied once the physical G-band radar sensor is ready.
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Erwan Le Roux
Principal Engineer, RF System
RF & Timing IC Design
Integrated & Wireless Systems Business Unit
T +41 32 720 5320
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CSEM Centre Suisse d'Electronique et de Microtechnique SA
Jaquet-Droz 1 | Case postale | CH-2002 Neuchâtel
www.csem.ch
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__________________________________________________ Erwan Le Roux Principal Engineer, RF System RF & Timing IC Design Integrated & Wireless Systems Business Unit T +41 32 720 5320 __________________________________________________ CSEM Centre Suisse d'Electronique et de Microtechnique SA Jaquet-Droz 1 | Case postale | CH-2002 Neuchâtel www.csem.ch __________________________________________________
CSEM MSc Project Proposal SAR Imaging.pdf
