Situation-aware Space-time Waveform Design for Automotive MIMO Radars
Edoardo Focante (TU Delft - Team Nitin Myers)
Nitin Jonathan Myers (TU Delft - Team Nitin Myers)
Geethu Joseph (TU Delft - Signal Processing Systems)
Ashish Pandharipande (NXP Semiconductors)
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Abstract
Radar is a key technology in automotive driving for target detection and perception. In this work, we leverage prior environmental information in the form of occupancy maps to design space-time codes for a fully digital MIMO radar. We transform this design problem into the optimization of spatial beamforming gains and time-domain codes. The beamforming gains are optimized to enhance the strength of returns from cells associated with a higher uncertainty of occupancy. The timedomain codes are optimized to minimize the correlation between returns of targets within the drivable space. We validate our method on the nuScenes dataset to show that the designed spacetime codes achieve higher detection rates than designs that do not rely on prior information from occupancy maps.