Framework for time-varying DoA estimation and beamforming against radio jamming in V2X applications

Smart mobility is a crucial aspect of smart cities, and its performance can be further improved by exploiting Vehicle-to-Everything (V2X) communication available on Advanced Driver Assistance Systems (ADAS) and autonomous vehicles. V2X communication has the potential to improve traffic in smart cities drastically, but it plays a crucial role in terms of safety and the environment. The V2X communication can be completely impaired due to cyberattacks, including radio jamming, where the electromagnetic spectrum is interfered or blocked. In this paper, we propose three frameworks to deal with radio jamming in V2X applications. First, we present a batch framework, then a recursive framework, and finally, a subspace tracking framework. We validate the proposed frameworks considering the left turn assist driving use case, and we compare their performances.