A 3D Fingerprinting Positioning Method Based on Cellular Networks
作者： Yao-hui Wang , Hu Li , Xin-long Luo , Qi-ming Sun , Jin-nan Liu
DOI: 10.1155/2014/248981
关键词: Computer science 、 Scheme (programming language) 、 Degree (graph theory) 、 Artificial intelligence 、 Window (computing) 、 Matching (graph theory) 、 Fingerprint (computing) 、 Data mining 、 Pattern recognition 、 Cellular network
摘要: A new 3D fingerprinting positioning scheme based on cellular networks is proposed by using implicit information of the location around geographic environments. Compared with original fingerprint scheme, singular measurement processed at beginning scheme. The main improvement our to employ cell matching degree and choose best reasonable according correlation its surrounding points. Additionally, in order improve searching efficiency, a window introduced. Finally, compared maximum likelihood method weightedK nearest neighbors method, promising numerical results are also presented.
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