Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박치현 | - |
dc.date.accessioned | 2019-04-30T08:21:22Z | - |
dc.date.available | 2019-04-30T08:21:22Z | - |
dc.date.issued | 2016-12 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.12, No.12, Page. 1-13 | en_US |
dc.identifier.issn | 1550-1477 | - |
dc.identifier.uri | https://journals.sagepub.com/doi/10.1177/1550147716683827 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/103123 | - |
dc.description.abstract | In this article, we propose a line-of-sight/non-line-of-sight time-of-arrival source localization algorithm that utilizes the weighted least squares. The proposed estimator combines multiple sorted measurements using the spatial sign concept, Mahalanobis distance, and Stahel-Donoho estimator, that is, assigning less weight to the samples as they are far from the center of inlier distribution. Also, the eigendecomposition Kendall's tau covariance matrix is utilized as the scatter measure instead of the conventional median absolute deviation. Thus, the adverse effects by outliers can be attenuated effectively. To validate the superiority of the proposed methods, the root mean square error performances are compared with that of the existing algorithms via extensive simulation. | en_US |
dc.description.sponsorship | The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the research fund of Signal Intelligence Research Center supervised by the Defense Acquisition Program Administration and the Agency for Defense Development of Korea. | en_US |
dc.language.iso | en | en_US |
dc.publisher | HINDAWI PUBLISHING CORP | en_US |
dc.subject | Weighted least squares | en_US |
dc.subject | spatial sign | en_US |
dc.subject | Mahalanobis distance | en_US |
dc.subject | Stahel-Donoho estimator | en_US |
dc.subject | line-of-sight | en_US |
dc.subject | non-line-of-sight | en_US |
dc.title | Time-of-arrival source localization based on weighted least squares estimator in line-of-sight/non-line-of-sight mixture environments | en_US |
dc.type | Article | en_US |
dc.relation.volume | 10.1177/1550147716683827 | - |
dc.identifier.doi | 10.1177/1550147716683827 | - |
dc.relation.page | 1-13 | - |
dc.relation.journal | INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS | - |
dc.contributor.googleauthor | Park, Chee-Hyun | - |
dc.contributor.googleauthor | Chang, Joon-Hyuk | - |
dc.relation.code | 2016010780 | - |
dc.sector.campus | S | - |
dc.sector.daehak | INDUSTRY-UNIVERSITY COOPERATION FOUNDATION[S] | - |
dc.sector.department | RESEARCH INSTITUTE | - |
dc.identifier.pid | cheehyunp | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.