Research Article
A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization
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@INPROCEEDINGS{10.1007/978-3-319-73564-1_11, author={Sunan Li and Jingyu Hua and Feng Li and Fangni Chen and Jiamin Li}, title={A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization}, proceedings={Machine Learning and Intelligent Communications. Second International Conference, MLICOM 2017, Weihai, China, August 5-6, 2017, Proceedings, Part I}, proceedings_a={MLICOM}, year={2018}, month={2}, keywords={Wireless localization Non-line-of-sight error Algorithm residuals Quadratic programming}, doi={10.1007/978-3-319-73564-1_11} }
- Sunan Li
Jingyu Hua
Feng Li
Fangni Chen
Jiamin Li
Year: 2018
A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization
MLICOM
Springer
DOI: 10.1007/978-3-319-73564-1_11
Abstract
Wireless localization has become a key technology location based services, and the non-line-of-sight (NLOS) propagation is one of the most important error source in the localization. Therefore, this paper defines a novel algorithm residual error (ARE) in NOLS environment, and estimates the position of mobile station (MS) by minimizing this ARE, where the quadratic programming is employed to solve the minimization problem. The simulation results show that the proposed algorithm produces significant performance improvements in NLOS environments.
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