Adaptive super-resolution with a synthetic aperture antenna

This work proposes an efficient way to implement super-resolution in a radar sensor based on digital beamforming and presents first measurements and a performance comparison. For full exploitation of the available aperture size, the sensor utilizes multiple transmitters to form a synthetic aperture almost twice the size of the physical aperture. Super-resolution techniques are applied to the larger aperture. These algorithms have a high computational complexity. To minimize this effort, a target selection based on CFAR algorithms is performed before the actual super-resolution step. Measurement results show the performance of the proposed algorithm in real life scenarios.