Time-of-arrival source localization based on weighted least squares estimator in line-of-sight/non-line-of-sight mixture environments
- Title
- Time-of-arrival source localization based on weighted least squares estimator in line-of-sight/non-line-of-sight mixture environments
- Author
- 박치현
- Keywords
- Weighted least squares; spatial sign; Mahalanobis distance; Stahel-Donoho estimator; line-of-sight; non-line-of-sight
- Issue Date
- 2016-12
- Publisher
- HINDAWI PUBLISHING CORP
- Citation
- INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, v.12, No.12, Page. 1-13
- 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.
- URI
- https://journals.sagepub.com/doi/10.1177/1550147716683827https://repository.hanyang.ac.kr/handle/20.500.11754/103123
- ISSN
- 1550-1477
- DOI
- 10.1177/1550147716683827
- Appears in Collections:
- INDUSTRY-UNIVERSITY COOPERATION FOUNDATION[S](산학협력단) > ETC
- Files in This Item:
- Time-of-arrival source localization based on weighted least squares estimator in line-of-sight non-line-of-sight mixture environments.pdfDownload
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