A Location Algorithm with Improved Accuracy Based on Correction of Noise High‐Order Cumulant

Abstract

The Non-line-of-sight (NLOS) error is the key issue for mobile user location in cellular wireless communication system. In this paper, we propose a robust and accurate approach using biased Kalman filter based on third-order cumulant to mitigate the NLOS error. The simulation results indicate that with less prior information about communication environments, the approach we present has a better location performance even in severe NLOS situations.