Gezici, SinanGüvenç, İ.Sahinoğlu, Z.2016-02-082016-02-082008-05http://hdl.handle.net/11693/26868Date of Conference: 19-23 May 2008Conference name: 2008 IEEE International Conference on CommunicationsA common technique for wireless positioning is to estimate time-of-arrivals (TOAs) of signals traveling between a target node and a number of reference nodes, and then to determine the position of the target node based on those TOA parameters. In determining the position of the target node from TOA parameters, linear or nonlinear least-squares (LS) estimation techniques can be employed. Although the linear LS techniques are suboptimal in general, they facilitate low-complexity position estimation. In this paper, performance of various linear LS techniques are compared, and suboptimality of the linear approach is quantified in terms of the Cramer-Rao lower bound (CRLB). Simulations are performed to compare the performance of the linear LS approaches versus the CRLBs for linear and nonlinear techniques. ©2008 IEEE.EnglishCramer-Rao lower bound (CRLB)Least-squares (LS) estimationTime-of-arrival (TOA)Wireless positioningChlorine compoundsComputational fluid dynamicsControl theoryCramer-Rao boundsLeast squares approximationsTargetsWireless telecommunication systemsInternational conferencesParameter estimationOn the performance of linear least-squares estimation in wireless positioning systemsConference Paper10.1109/ICC.2008.789