4D Automotive Radar Sensing for Autonomous Vehicles: A Sparsity-Oriented Approach

• Published in: IEEE journal of selected topics in signal processing Vol. 15; no. 4; pp. 879 - 891
• Main Authors: Sun, Shunqiao, Zhang, Yimin D.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.06.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Antenna arrays; Automobiles; Automotive engineering; Automotive radar; autonomous driving; Azimuth; Direction finding; Estimation; False alarms; Frequencies; Frequency spectrum; Hankel matrices; High resolution; Image resolution; Imaging radar; interference mitigation; multi-input multi-output (MIMO) radar; Radar; Radar antennas; Radar cross sections; Radar equipment; Radar imaging; Radar systems; random sparse step-frequency waveform; Sidelobes; sparse array; Sparsity; Synthesis; Target detection; Waveforms

We propose a high-resolution imaging radar system to enable high-fidelity four-dimensional (4D) sensing for autonomous driving, i.e., range, Doppler, azimuth, and elevation, through a joint sparsity design in frequency spectrum and array configurations. To accommodate a high number of automotive rad...