Abstract
The non-line-of-sight (NLOS) error is a major error source in wireless localization. Therefore, an improved constrained least-squares (CLS) algorithm is put forward to tackle this issue, where the positioning problem is formulated as a mathematical programming problem. And then, the cost function of the optimization is studied and a new one is proposed. Finally, through the presented optimization, we try to minimize the positioning influence of NLOS errors. Moreover, the studied method does not depend on a particular distribution of the NLOS error. Simulation results show that the positioning accuracy is significantly improved over traditional CLS algorithms, even under highly NLOS conditions.
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This paper was sponsored by the National NSF of China No.61471322.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Yin, Y., Hua, J., Chen, F., Lu, W., Wang, D., Li, J. (2018). An Improved Constrained Least Squares Localization Algorithm in NLOS Propagating Environment. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_9
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DOI: https://doi.org/10.1007/978-3-030-00557-3_9
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