Static positioning using UWB range measurements
buir.contributor.author | Gezici, Sinan | |
dc.contributor.author | Gholami, M.R. | en_US |
dc.contributor.author | Ström, E.G. | en_US |
dc.contributor.author | Sottile F. | en_US |
dc.contributor.author | Dardari, D. | en_US |
dc.contributor.author | Conti, A. | en_US |
dc.contributor.author | Gezici, Sinan | en_US |
dc.contributor.author | Rydström, M. | en_US |
dc.contributor.author | Spirito, M.A. | en_US |
dc.coverage.spatial | Florence, Italy | en_US |
dc.date.accessioned | 2016-02-08T12:20:48Z | |
dc.date.available | 2016-02-08T12:20:48Z | |
dc.date.issued | 2010 | en_US |
dc.department | Department of Electrical and Electronics Engineering | en_US |
dc.description | Date of Conference: 16-18 June 2010 | en_US |
dc.description.abstract | The performance of several existing and partly new algorithms for positioning of sensor node based on distance estimate is compared when the distance estimates are obtained from a measurement campaign. The distance estimates are based on time-of-arrival measurements done by ultrawideband devices in an indoor office environment. Two different positioning techniques are compared: statistical and geometrical. In statistical category, distributed weighted-multidimensional scaling (dwMDS), least squares, and sum product algorithm are evaluated and in geometrical technique projections approach and outer approximation (OA) method are investigated. No method shows the best performance in all cases, while in many situations, sum product algorithm, dwMDS, nonlinear least square, projection approach, OA, and weighted least square work well. Copyright © The authors. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:20:48Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010 | en |
dc.identifier.uri | http://hdl.handle.net/11693/28443 | |
dc.language.iso | English | en_US |
dc.publisher | IEEE | en_US |
dc.source.title | 2010 Future Network & Mobile Summit | en_US |
dc.subject | Least Square | en_US |
dc.subject | Measurement campaign | en_US |
dc.subject | Multi-dimensional scaling | en_US |
dc.subject | Non-linear least squares | en_US |
dc.subject | Office environments | en_US |
dc.subject | Outer approximation | en_US |
dc.subject | Positioning techniques | en_US |
dc.subject | Range measurements | en_US |
dc.subject | Sum-product algorithm | en_US |
dc.subject | Time-of-arrival measurements | en_US |
dc.subject | Ultra wide band devices | en_US |
dc.subject | Weighted least squares | en_US |
dc.subject | Approximation algorithms | en_US |
dc.subject | Estimation | en_US |
dc.subject | Sensor nodes | en_US |
dc.subject | Telecommunication equipment | en_US |
dc.subject | Wireless networks | en_US |
dc.subject | Least squares approximations | en_US |
dc.title | Static positioning using UWB range measurements | en_US |
dc.type | Conference Paper | en_US |
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