Imaging radar for automated driving functions

• Published in: International journal of microwave and wireless technologies Vol. 13; no. 7; pp. 682 - 690
• Main Authors: Iqbal, Hasan, Löffler, Andreas, Mejdoub, Mohamed Nour, Zimmermann, Daniel, Gruson, Frank
• Format: Journal Article
• Language: English
• Published: Cambridge, UK Cambridge University Press 01.09.2021
• Subjects: Algorithms; Automation; Automobile industry; Bandwidths; Beamforming; Dead reckoning; Imaging radar; Radar imaging; Research Paper; Sensors; Synthetic aperture radar; Ultrasonic imaging; synthetic aperture radar; automotive radar; short range radar (SRR); SAR; Imaging radar
• ISSN: 1759-0787; 1759-0795
• DOI: 10.1017/S1759078721000465

This work presents the implementation of a synthetic aperture radar (SAR) at 77 GHz, for automotive applications. This implementation is unique in the sense that it is a radar-only solution for most use-cases. The set-up consists of two radar sensors, one to calculate the ego trajectory and the second for SAR measurements. Thus the need for expensive GNSS-based dead reckoning systems, which are in any case not accurate enough to fulfill the requirements for SAR, is eliminated. The results presented here have been obtained from a SAR implementation which is able to deliver processed images in a matter of seconds from the point where the targets were measured. This has been accomplished using radar sensors which will be commercially available in the near future. Hence the results are easily reproducible since the deployed radars are not special research prototypes. The successful widespread use of SAR in the automotive industry will be a large step forward toward developing automated parking functions which will be far superior to today's systems based on ultrasound sensors and radar (short range) beam-forming algorithms. The same short-range radar can be used for SAR, and the ultrasound sensors can thus be completely omitted from the vehicle.