Distribution fitting for long term electric field strength measurements

As a result of the enormous increase in usage of wireless systems; electromagnetic radiation (EMR) sources in residential areas as well as the exposed EMR levels has increased significantly. Therefore this study aims to determine the exposed E levels and characterize the electromagnetic environment on the basis of long term (24 hours) E measurements conducted at five different home environments. The measurements were collected using PMM 8053 EMR meter in band from 100 kHz to 3 GHz, and the electric field strength (E) was recorded. The measurement results show that the E originating from the base stations change significantly within a day, and the highest E is 6.21 V/m and the highest mean E is 3.59 V/m. Analysis of 24 hour measurements so as to division of a day into four equal parts show that afternoon and evening E levels are comparatively higher than those recorded during morning and night. Morning E level increases by 80.61% compared to night. At the end of the study to characterize the measured E levels with a distribution; fitting methods are applied to measured data. Since a Weibull distribution yield the lowest NRMSE; appears to be a candidate for a representation of the distribution of the measured E levels.