On the performance of linear least-squares estimation in wireless positioning systems
Author
Gezici, Sinan
Güvenç, İ.
Sahinoğlu, Z.
Date
2008-05Source Title
2008 IEEE International Conference on Communications
Publisher
IEEE
Pages
4203 - 4208
Language
English
Type
Conference PaperItem Usage Stats
140
views
views
250
downloads
downloads
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.
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