期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2015
卷号：6
期号：1
页码：45
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper, we aim to obtain the location information of a sensor node deployed in a Wireless SensorNetwork (WSN). Here, Time of Arrival based localization technique is considered. We calculate theposition information of an unknown sensor node using the non- linear techniques. The performances of thetechniques are compared with the Cramer Rao Lower bound (CRLB). Non-linear Least Squares and theMaximum Likelihood are the non-linear techniques that have been used to estimate the position of theunknown sensor node. Each of these non-linear techniques are iterative approaches, namely, NewtonRaphson estimate, Gauss Newton Estimate and the Steepest Descent estimate for comparison. Based on theresults of the simulation, the approaches have been compared. From the simulation study, Localizationbased on Maximum Likelihood approach is having higher localization accuracy.
关键词：Node Localization; Time of Arrival; Maximum Likelihood approach; Non-linear Least Squares approach;and CRLB.
