An Improved Method of Moments Estimator for TOA Based Localization

Qiao, Tianzhu; Liu, Huaping

Citeable URL: https://ir.library.oregonstate.edu/concern/articles/pc289k28h

This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE-Institute of Electrical and Electronics Engineers and can be found at: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4234. Article © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Descriptions

Attribute Name	Values
Creator	Qiao, Tianzhu Liu, Huaping
Abstract	Estimation accuracy and computational complexity are two major areas of consideration for localization system design. For time-of-arrival based systems, the 1st-order method of moments (MOM) least-square (LS) estimator is simple to implement, but its performance is much worse than that of some computationally more complex estimators such as the MOM weighted LS (WLS) and nonlinear weighted LS (NLLS-WLS) estimators. In this paper, we develop an improved 1st-order MOM estimator to efficiently utilize the variances of the range measurements and the target position that, as the NLLS estimator, has a performance also approaching the Crammer-Rao lower bound but is much simpler than MOM-WLS and NLLS-WLS estimators.
Resource Type	Article
DOI	https://doi.org/10.1109/LCOMM.2013.052413.130734
Date Available	2013-09-18T19:04:03+00:00
Date Issued	2013-07
Citation	Qiao, T., & Liu, H. (2013). An improved method of moments estimator for TOA based localization. IEEE Communications Letters, 17(7), 1321-1324. doi:10.1109/LCOMM.2013.052413.130734
Journal Title	IEEE Communications Letters
Journal Volume	17
Journal Issue/Number	7
Keyword	Location estimation and method of moments
Rights Statement	Copyright Not Evaluated
Funding Statement (additional comments about funding)	This work was supported by the National Science Foundation under Grant IIS-1118017.
Publisher	IEEE - Institute of Electrical and Electronics Engineers
Peer Reviewed	Yes
Language	English [eng]
Replaces	http://hdl.handle.net/1957/42645
Additional Information	description.provenance : Submitted by Deanne Bruner (deanne.bruner@oregonstate.edu) on 2013-09-18T19:03:04Z No. of bitstreams: 1 LiuHuapingElectricalEngineeringComputerScienceImprovedMethodMoments.pdf: 545719 bytes, checksum: 870813d3b0d8c4a369f230539e878fe3 (MD5) description.provenance : Approved for entry into archive by Deanne Bruner(deanne.bruner@oregonstate.edu) on 2013-09-18T19:04:03Z (GMT) No. of bitstreams: 1 LiuHuapingElectricalEngineeringComputerScienceImprovedMethodMoments.pdf: 545719 bytes, checksum: 870813d3b0d8c4a369f230539e878fe3 (MD5) description.provenance : Made available in DSpace on 2013-09-18T19:04:03Z (GMT). No. of bitstreams: 1 LiuHuapingElectricalEngineeringComputerScienceImprovedMethodMoments.pdf: 545719 bytes, checksum: 870813d3b0d8c4a369f230539e878fe3 (MD5) Previous issue date: 2013-07

ScholarsArchive@OSU

Article