Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Method for Mitigation of NLOS Error based on SVM using Geometry Information and Training data

Authors
Jiyan Huang, Peng Liu, Mingquan Lu, Baogen Xu, Zhongchu Rao, Yihe Wan, Chuan Lu, Hongyan Zhang
Corresponding Author
Jiyan Huang
Available Online July 2015.
DOI
https://doi.org/10.2991/icismme-15.2015.2How to use a DOI?
Keywords
Time of arrival; Mobile location; NLOS error; LS-SVM; Kernel function
Abstract
In this paper, a novel least square support vector machines (LS-SVM) based on geometry information and training data is proposed to improve the performance of mobile localization in the non-line-of-sight (NLOS) environments. Simulations show that the performance of the proposed method is better than the geometry method and the learning method based RBF kernel function in difference channel environments.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Sciences, Machinery, Materials and Energy
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/icismme-15.2015.2How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiyan Huang
AU  - Peng Liu
AU  - Mingquan Lu
AU  - Baogen Xu
AU  - Zhongchu Rao
AU  - Yihe Wan
AU  - Chuan Lu
AU  - Hongyan Zhang
PY  - 2015/07
DA  - 2015/07
TI  - Method for Mitigation of NLOS Error based on SVM using Geometry Information and Training data
BT  - First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 7
EP  - 11
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.2
DO  - https://doi.org/10.2991/icismme-15.2015.2
ID  - Huang2015/07
ER  -