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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This paper is sponsored by National Natural Science Foundation of China (Grant No. 61601409 and Grant No. 61471322).
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Li, S., Hua, J., Li, F., Chen, F., Li, J. (2018). A Non-line-of-Sight Localization Method Based on the Algorithm Residual Error Minimization. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-319-73564-1_11
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DOI: https://doi.org/10.1007/978-3-319-73564-1_11
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