Research Article
An Improved Quadratic Programming LLOP Algorithm for Wireless Localization
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@INPROCEEDINGS{10.1007/978-3-030-00557-3_50, author={Guangzhe Liu and Jingyu Hua and Feng Li and Weidang Lu and Zhijiang Xu}, title={An Improved Quadratic Programming LLOP Algorithm for Wireless Localization}, proceedings={Machine Learning and Intelligent Communications. Third International Conference, MLICOM 2018, Hangzhou, China, July 6-8, 2018, Proceedings}, proceedings_a={MLICOM}, year={2018}, month={10}, keywords={Wireless localization Linear line of position (LLOP) Quadratic programming Non-line-of-sight error}, doi={10.1007/978-3-030-00557-3_50} }- Guangzhe Liu
Jingyu Hua
Feng Li
Weidang Lu
Zhijiang Xu
Year: 2018
An Improved Quadratic Programming LLOP Algorithm for Wireless Localization
MLICOM
Springer
DOI: 10.1007/978-3-030-00557-3_50
Abstract
With the rapid increasing of smart devices, wireless positioning technology has become a hot research area. Accordingly, this paper puts forward an optimization-based localization in the wireless network, in which both the quadratic programming (QP) and the principle of linear line of position (LLOP) are taken into account. Moreover, a two-step improvement is proposed to enhance the constrained optimization model, and the simulations demonstrate its effectiveness. Among the tested localization methods, the proposed algorithm performs the best in the non-line-of-sight (NLOS) propagating environment, and its estimating stability over original LLOP algorithm is also obviously observed.
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