Abstract
Existing localization algorithms didn’t consider the important factor of the antenna measuring angles. And most wireless indoor localization algorithms require a site survey process which is time-consuming and labor-intensive. This paper presents a featured region localization algorithm without site survey and discusses the measured angle in different intervals. According to the relationship among the fingerprints sets of the same angle interval, our proposed algorithm is used to find the featured points within the region. Regions of points are determined by calculating Euclidean distance between the points and APs (Access Points). Experiments are conducted in an 8m by 8m laboratory, and results show that this algorithm has superior performance compared with existing algorithms.
This research was supported by the Key Technology R&D Project of Jiangsu Province (Grant No. BE2010026).
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Li, P., Sun, L., Fang, Q., Xie, J., Yang, W., Ma, K. (2013). An Study of Indoor Localization Algorithm Based on Imperfect Signal Coverage in Wireless Networks. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38715-9_39
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DOI: https://doi.org/10.1007/978-3-642-38715-9_39
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