We estimate the location of a WLAN user based on radio signal strength measurements performed by the user’s mobile terminal. In our approach the physical properties of the signal propagation are not taken into account directly. Instead the location estimation is regarded as a machine learning problem in which the task is to model how the signal strengths are distributed in different geographica...

Location estimation using the Global System for Mobile communication (GSM) is an emerging application where noisy power levels are measured from multiple channels to infer the location of the mobile receiver. While geometrical and communications models have been adopted to tackle this estimation problem, the terrain factors and power fluctuations have confined the accuracy of such estimation. T...

A major concern of cellular and PCS-based wireless location systems is the effect of the harsh propagation environment, particularly non-line-of-sight (NLOS) propagation. In order to improve location accuracy under such conditions, this paper proposes a novel location technique that estimates the true, or line-of-sight (LOS), ranges based on NLOS range measurements. The algorithms, designed for...

Though it is vital to estimate infiltration as one of the key factors in effective management of water resources, only few studies have been carried out either to determine the infiltration or to compare the performance of infiltration models for coarse textured soils. Thus, the present study was conducted to accomplish two objectives. First to estimate the Horton’s infiltration model parameter...

Location estimation using the Global System for Mobile Communication (GSM) is an emerging application that infers the location of the mobile receiver from multiple signals measurements. The approach is based on the use of an inherent feature of the GSM cellular system and on the use of this information to estimate the phone‟s location. Mobile positioning is the key aspect in providing the locat...