Robust closed-form time-of-arrival source localization based on alpha-trimmed mean and Hodges-Lehmann estimator under NLOS environments

Title
Robust closed-form time-of-arrival source localization based on alpha-trimmed mean and Hodges-Lehmann estimator under NLOS environments
Authors
장준혁
Keywords
alpha-Trimmed mean; Breakdown point; Hodges-Lehmann estimator; Influence function; Robust statistics
Issue Date
2015-06
Publisher
ELSEVIER SCIENCE BV
Citation
SIGNAL PROCESSING, v. 111, Page. 113-123
Abstract
In this paper, we propose an NLOS source localization method that utilizes the robust statistics, namely, the alpha-trimmed mean and Hodges-Lehmann estimator. The root mean squared error average of the proposed methods is similar to that of the other estimators such as M-estimator and Taylor-series maximum likelihood estimator using the median, but the proposed robust estimators have advantages that they have the closed-form solution. The simulation results show that the root mean squared error performance of the proposed methods is similar or outperforms that of the iteration-based M-estimator. The Taylor-series maximum likelihood estimator based on the sample median is most superior among the investigated localization methods, but it has the disadvantages that the computational complexity is high and that the solution may converge to the local maxima. Also, it is shown that the performances of the closed-form proposed estimators outperform the JMAP-ML and LS estimator in the above of certain NLOS noise level. (C) 2014 Elsevier B.V. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S0165168414005829http://hdl.handle.net/20.500.11754/25871
ISSN
0165-1684; 1879-2677
DOI
http://dx.doi.org/10.1016/j.sigpro.2014.12.020
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > DEPARTMENT OF ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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