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      • Department of Electrical and Electronics Engineering
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      Enhancements to linear least squares localization through reference selection and ML estimation

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      Author
      Güvenç, İsmail
      Gezici, Sinan
      Watanabe F.
      Inamura, H.
      Date
      2008-03-04
      Source Title
      IEEE Wireless Communications and Networking Conference, WCNC 2008
      Publisher
      IEEE
      Pages
      284 - 289
      Language
      English
      Type
      Conference Paper
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      Abstract
      Linear least squares (LLS) estimation is a low complexity but sub-optimum method for estimating the location of a mobile terminal (MT) from some distance measurements. It requires selecting one of the fixed terminals (FTs) as a reference FT for obtaining a linear set of expressions. However, selection of the reference FT is commonly performed arbitrarily in the literature. In this paper, a method for selection of the reference FT is proposed, which improves the location accuracy compared to a fixed selection of the reference FT. Moreover, a covariancematrix based LLS estimator is proposed in line of sight (LOS) and non-LOS (NLOS) environments which further improves accuracy since the correlations between the observations are exploited. Simulation results prove the effectiveness of the proposed techniques. © 2008 IEEE.
      Keywords
      Least-squares (LS) estimation
      Linearization
      Maximum likelihood estimation (MLE)
      Reference selection
      Wireless localization
      Channel capacity
      Curve fitting
      Electric appliances
      Estimation
      Geodesy
      Least squares approximations
      Port terminals
      Surface reconstruction
      Wireless telecommunication systems
      Permalink
      http://hdl.handle.net/11693/26865
      Published Version (Please cite this version)
      https://doi.org/10.1109/WCNC.2008.55
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      • Department of Electrical and Electronics Engineering 3524
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