Improved position estimation using hybrid TW-TOA and TDOA in cooperative networks

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buir.contributor.authorGezici, Sinan
dc.citation.epage3785en_US
dc.citation.issueNumber7en_US
dc.citation.spage3770en_US
dc.citation.volumeNumber60en_US
dc.contributor.authorGholami, M. R.en_US
dc.contributor.authorGezici, Sinanen_US
dc.contributor.authorStröm, E. G.en_US
dc.date.accessioned2016-02-08T09:45:55Z
dc.date.available2016-02-08T09:45:55Z
dc.date.issued2012-04-13en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractThis paper addresses the problem of positioning multiple target nodes in a cooperative wireless sensor network in the presence of unknown turn-around times. In this type of cooperative networks, two different reference sensors, namely, primary and secondary nodes, measure two-way time-of-arrival (TW-TOA) and time-difference-of-arrival (TDOA), respectively. Motivated by the role of secondary nodes, we extend the role of target nodes such that they can be considered as pseudo secondary nodes. By modeling turn-around times as nuisance parameters, we derive a maximum likelihood estimator (MLE) that poses a difficult global optimization problem due to its nonconvex objective function. To avoid drawbacks in solving the MLE, we linearize the measurements using two different techniques, namely, nonlinear processing and first-order Taylor series, and obtain linear models based on unknown parameters. The proposed linear estimator is implemented in three steps. In the first step, a coarse position estimate is obtained for each target node, and it is refined through steps two and three. To evaluate the performance of different methods, we derive the Cramér-Rao lower bound (CRLB). Simulation results show that the cooperation technique provides considerable improvements in positioning accuracy compared to the noncooperative scenario, especially for low signal-to-noise-ratios.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T09:45:55Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2012en
dc.identifier.doi10.1109/TSP.2012.2194705en_US
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/21409
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TSP.2012.2194705en_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.subjectCooperative positioningen_US
dc.subjectCramér-Rao lower bound (CRLB)en_US
dc.subjectLinear estimatoren_US
dc.subjectMaximum-likelihood estimator (MLE)en_US
dc.subjectTime-difference-of-arrival (TDOA)en_US
dc.subjectTime-of-arrival (TOA)en_US
dc.subjectTwo-way time-of-arrival (TW-TOA)en_US
dc.subjectWireless sensor networken_US
dc.subjectCooperative positioningen_US
dc.subjectLinear estimatorsen_US
dc.subjectLower boundsen_US
dc.subjectMaximum-likelihood estimator (MLE)en_US
dc.subjectTime-difference-of-arrivalen_US
dc.subjectTime-of-arrivalen_US
dc.subjectMaximum likelihood estimationen_US
dc.subjectWireless sensor networksen_US
dc.subjectSensor nodesen_US
dc.titleImproved position estimation using hybrid TW-TOA and TDOA in cooperative networksen_US
dc.typeArticleen_US

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