Wireless Local Area Network Indoor Positioning Using Locality Preserving Projects
Abstract: In this study, we utilize location fingerprinting approaches for indoor positioning by Wireless Local Area Network (WLAN) received signal strength. The approaches are divided into two parts including off-line and on-line stages. In the off-line stage, we collected received signal strength are projected onto the feature space of Locality Preserving Projects (LPP). In the on-line stage, we receive real-time signal strength compared with the off-line stage was collected data using Maximum Likelihood (ML) to estimate current location. Simulation results show that application of LPP not only reduce original dimension of the signal strength database but also reduce the computation. In addition, it can does not affect the positioning accuracy and reduce the off-line stage required prior to collection of signal samples at the same time. From Simulation results show that this algorithm is used in indoor location is feasible.
文章引用: 詹佳翰 , 李坤洲 (2012) 应用局部保持投影法于无线网络室内定位。 无线通信， 2， 34-38. doi: 10.12677/hjwc.2012.22007
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