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On the Performance of Linear Least-Squares Estimation in Wireless Positioning Systems

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On the Performance of Linear Least-Squares Estimation in Wireless Positioning Systems
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. ICC 2008 (May) This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for non...
Sinan Gezici, Ismail Güvenç, Zafer Sah
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICC
Authors Sinan Gezici, Ismail Güvenç, Zafer Sahinoglu
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