Multiple-RIS-Aided Vibrio Foraging Optimization Positioning Algorithm Under Internet of Vehicles Environment

Aiming at the problem of terminal position estimation under Internet of vehicles environment, the paper proposes a Vibrio Foraging Optimization (VFO) positioning algorithm assisted by multiple Reconfigurable Intelligent Surfaces (RISs). The system model for multiple RISs aided positioning under Internet of vehicles environment is first constructed. To achieve the goal of reducing system implementation complexity, the method of exploiting a single transmitting end node to construct virtual anchor nodes for target positioning is adopted. The proposed VFO algorithm is applied to solve the positioning objective function constructed by geometric relations to obtain the estimated position of the target vehicle. Additionally, the Direction of Arrival (DOA) parameter is introduced and matrix reconstructed estimation of signal parameters by rotational invariance technique (MR-ESPRIT) algorithm is employed for reducing the computational complexity and further improving the performance of the positioning algorithm. Simulation results further demonstrate that the proposed VFO algorithm based on multiple RISs can achieve better positioning performance with relatively low system complexity.