A Multi-state Sensing Scheme Based On OTFS for Vehicular Networks

This paper proposes a multi-state sensing scheme based on orthogonal time frequency space (OTFS) to realize the accurate Doppler and angle estimation in vehicular networks. The proposed scheme involves designing a fractional dictionary matrix that facilitates a joint estimation through the reconstruction of dictionary matrices. Besides, we efficiently reduce the computational complexity of the angle estimation compared to traditional methods like orthogonal matching pursuit (OMP). Furthermore, in the two path environment, the position of the vehicle can be determined based on the estimated Dopplers and angles. Simulation results demonstrate that, by leveraging the unique features of OTFS signals and the OMP algorithm, the proposed scheme can achieve more precise angle and position estimation compared to benchmark methods.