A 3D Fingerprinting Positioning Method Based on Cellular Networks. (8th July 2014)

• Record Type: Journal Article
• Authors: Wang, Yao-hui; Li, Hu; Luo, Xin-long; Sun, Qi-ming; Liu, Jin-nan
• Other Names: Bajo Javier Academic Editor.
• Is Part Of: International journal of distributed sensor networks. (2014)
• Publication Date: 2014-07-08
• Subjects: Sensor networks -- Periodicals; Intelligent agents (Computer software) -- Periodicals; Multisensor data fusion -- Periodicals; 681.2
• DOI: 10.1155/2014/248981
• Languages: English
• ISSNs: 1550-1329

Abstract

Abstract : 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 positioning scheme, singular measurement is processed at the beginning of the proposed scheme. The main improvement of our proposed scheme is to employ cell matching degree and choose the best reasonable fingerprint according to the correlation of its surrounding points. Additionally, in order to improve searching efficiency, a new searching window is introduced. Finally, compared with the maximum likelihood method and the weightedK nearest neighbors method, the promising numerical results are also presented.