Kriging Estimator for Mobile Station Positioning under Non-Line-of-Sight (NLOS) Conditions

摘要

Estimation of mobile station location is madedifficult by nonsymmetric contamination of measured datacaused by NLOS propagation effects. In this paper, a novelalgorithm based on Kriging method is proposed to reduce theeffects of NLOS propagation on the location error. Simulationresults show that the proposed algorithm clearly outperformstwo other algorithms (non- parametric kernel method andparametric Least square method) and comes close to meetingCramer Rao lower bound (CRLB).