Environmentally Corrected RSSI Based Real Time Location Detection System

RSSI based localization techniques are effected by environmental factors which cause the RF signals emitted from transmitter nodes fluctuate in time domain. These variations generate fluctuations on distance calculations and result false object position detection during localization. Smoothing procedures must be applied on distance values either collectively or individually to minimize these fluctuations. In this study,proposed detection system has two main phases. Firstly, calibration of RSSI values with respect to distances and calculation of environmental coefficient for each transmitter.Secondly, position estimation of objects by applying iterative trilateration on smoothed distance values. A smoothing algorithm is employed to minimize the dynamic fluctuations of RF signals received from each reference transmitter node. Distances between the reference nodes and the objects are calculated by deploying environmental coefficients. Experimental measurements are carried out to measure the sensitivity of the system. Results show that the proposed system can be deployed as a viable position detection system in indoors and outdoors.