期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2016
卷号：8
期号：6
页码：39
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：RSSI based localization techniques are effected by environmental factors which cause the RFsignalsemitted from transmitter nodes fluctuate in time domain. These variations generate fluctuations ondistance calculations and result false object position detection during localization.Smoothing proceduresmust be applied on distance values either collectively or individually to minimize these fluctuations. In thisstudy,proposed detection system has two main phases. Firstly, calibration of RSSI values with respect todistances and calculation of environmental coefficient for each transmitter.Secondly, position estimation ofobjects by applyingiterative trilateration on smoothed distance values. A smoothing algorithm is employedto 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 environmentalcoefficients. Experimental measurements are carried out to measure the sensitivity of the system. Resultsshow that the proposed system can be deployed as a viable position detection system in indoors andoutdoors.
