A New Algorithm to Mitigate NLOS Errors in Cellular Networks
一种新的蜂窝网NLOS误差抑制算法

The Non-Line-Of-Sight (NLOS) error is the main difficulty for mobile user location in cellular wireless communication system. An accurate and unbiased estimation approach using Probability Density Function (PDF) estimator and biased Kalman filter is presented to mitigate the NLOS error in this paper. The simulation results indicate that with the less prior information about communication environments, the approach has a better location performance even in severe NLOS situations.