Enhancements to linear least squares localization through reference selection and ML estimation
buir.contributor.author | Gezici, Sinan | |
dc.citation.epage | 289 | en_US |
dc.citation.spage | 284 | en_US |
dc.contributor.author | Güvenç, İsmail | en_US |
dc.contributor.author | Gezici, Sinan | en_US |
dc.contributor.author | Watanabe F. | en_US |
dc.contributor.author | Inamura, H. | en_US |
dc.coverage.spatial | Las Vegas, NV, USA | |
dc.date.accessioned | 2016-02-08T11:38:07Z | |
dc.date.available | 2016-02-08T11:38:07Z | |
dc.date.issued | 2008-03-04 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 31 March-3 April 2008 | |
dc.description | Conference name: 2008 IEEE Wireless Communications and Networking Conference | |
dc.description.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. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T11:38:07Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2008 | en |
dc.identifier.doi | 10.1109/WCNC.2008.55 | |
dc.identifier.uri | http://hdl.handle.net/11693/26865 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | |
dc.relation.isversionof | https://doi.org/10.1109/WCNC.2008.55 | |
dc.source.title | IEEE Wireless Communications and Networking Conference, WCNC 2008 | en_US |
dc.subject | Least-squares (LS) estimation | en_US |
dc.subject | Linearization | en_US |
dc.subject | Maximum likelihood estimation (MLE) | en_US |
dc.subject | Reference selection | en_US |
dc.subject | Wireless localization | en_US |
dc.subject | Channel capacity | en_US |
dc.subject | Curve fitting | en_US |
dc.subject | Electric appliances | en_US |
dc.subject | Estimation | en_US |
dc.subject | Geodesy | en_US |
dc.subject | Least squares approximations | en_US |
dc.subject | Port terminals | en_US |
dc.subject | Surface reconstruction | en_US |
dc.subject | Wireless telecommunication systems | en_US |
dc.title | Enhancements to linear least squares localization through reference selection and ML estimation | en_US |
dc.type | Conference Paper | en_US |
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