Enhancement of IRS-Assisted Wireless Localization System in NLOS Conditions
摘要
In this paper, a millimeter-wave wireless localization model assisted by IRS is developed to explore the wireless localization problem under NLOS conditions. By deriving and analyzing the Fisher information matrix and Cramer-Rao lower bounds(CRLB), the accuracy index and optimization criteria are quantified, and a phase shift optimization method based on the semi-positive definite relaxation method is proposed to achieve the optimization of the localization performance of the system as a result. Simulation results show that the algorithm proposed in this paper can improve the performance of the system significantly compared with the benchmark solution.