Method for Mitigation of NLOS Error based on SVM using Geometry Information and Training data
Jiyan Huang, Peng Liu, Mingquan Lu, Baogen Xu, Zhongchu Rao, Yihe Wan, Chuan Lu, Hongyan Zhang
Available Online July 2015.
- https://doi.org/10.2991/icismme-15.2015.2How to use a DOI?
- Time of arrival; Mobile location; NLOS error; LS-SVM; Kernel function
- 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.
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 -