Single base station positioning based on multipath parameter clustering in NLOS environment

Abstract This paper proposes a scattering area model for processing multipath parameters achieve single base station positioning. First of all, we construct based on the spatial layout obstacles near and then collect signals needed positioning extract parameters. Second, use joint clustering algorithm improved by k-means mean shift to process useful information. Third, processed information is combined with equations, solving problem equations converted into least-squares optimization problem. Finally, Levenberg-Marquardt (LM) used solve optimal solution estimate mobile target position. The simulation results show that in this can be locate an outdoor non-line-of-sight (NLOS) environment, accuracy compared traditional algorithm.