Toward Next-Gen Secure Millimeter-Wave Radar Sensors

Dear Colleagues,

The recent advancements in humanlike sensing technologies have paved the way for smart technology in various sectors of day-to-day living such as healthcare, infrastructure, and the automobile industry. Among the various sensing modalities such as cameras and Lidars, millimeter-wave radars offer a competitive advantage due to their low cost, small form factor, all-weather performance, and ability to be installed behind support structures. Unmodulated and modulated continuous-wave (CW) radars are widely used due to their ability to measure the target’s range, velocity, angle-of-arrival (AoA), and size (radar cross-section). Aided by machine learning techniques, CW radars are also used to classify different objects. With the aggressive push toward automation and connected infrastructure in the Internet-of-Things (IoT) era, millions of radars are deployed in various applications, such as advanced driver-assistance systems (ADASs), surveillance systems, and human–machine interface, to name a few. With radar sensors finding an increasing number of applications, the security risk they pose is a critical area that requires considerable research attention. Therefore, it is imperative to study the feasibility of malicious attacks against CW radars and the possible mitigation techniques. This Special Issue highlights research work that addresses the vulnerability of millimeter-wave radars to various electronic countermeasure (ECM) scenarios, and the progress in radar hardware and signal processing techniques to effectively counter any ECM threats.

Prof. Dr. Changzhi Li
Dr. Prateek Nallabolu
Guest Editors

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