On the performance of linear least-squares estimation in wireless positioning systems

Date
2008-05
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Source Title
2008 IEEE International Conference on Communications
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Publisher
IEEE
Volume
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Pages
4203 - 4208
Language
English
Type
Conference Paper
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Abstract

A 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.

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Keywords
Cramer-Rao lower bound (CRLB), Least-squares (LS) estimation, Time-of-arrival (TOA), Wireless positioning, Chlorine compounds, Computational fluid dynamics, Control theory, Cramer-Rao bounds, Least squares approximations, Targets, Wireless telecommunication systems, International conferences, Parameter estimation
Citation
Published Version (Please cite this version)