13th Asia Pacific Transportation Development Conference
An NLOS Mitigation Scheme for TDOA Localization Using the Multidimensional Scaling Model
Publication: Resilience and Sustainable Transportation Systems
ABSTRACT
In railway transportation and smart stations, it is important to deploy the capability to locate a source through wireless communication signals with time-difference-of-arrival (TDOA) measurements. However, TDOA measurements are very sensitive to the availability of the line-of-sight (LOS). This paper concentrates on mitigating the non-line-of-sight (NLOS) measurements using the multidimensional scaling (MDS) model. Firstly, subspace analysis of the scalar product matrix is presented. Secondly, NLOS mitigation is presented, which checks the eigenvalues of the principle minor of the scalar product matrix, and then identifies the NLOS measurement. Finally, estimate of the source position is calculated. Simulation results show that the localization accuracy of the proposed scheme is higher than the two-step weighted least squares (2WLS) method and the traditional MDS-based method.
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ACKNOWLEDGEMENT
This work was supported by Key Technology R&D Project of Shanghai Committee of Science and Technology (Grant No. 18030501300) and Start Foundation of Shanghai University of Engineering Science (Grant No. 0240-E3-0507-19-05039 and No. 0240-E3-0507-19-05135).
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Information & Authors
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Published In
Resilience and Sustainable Transportation Systems
Pages: 416 - 424
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2
Copyright
© 2020 American Society of Civil Engineers.
History
Published online: Jun 29, 2020
Published in print: Jun 29, 2020
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