Adaptive Range-Based Nonlinear Filters for Wireless Indoor Positioning System Using Dynamic Gaussian Model
IEEE Transactions on Vehicular Technology（2015）
摘要
It is hard to obtain a general error model for the range-based wireless indoor positioning system due to the complicated hybrid line-of-sight/non-line-of-sight (LOS/NLOS) environment. The performance of the conventional Gaussian-based nonlinear filters is degraded in the indoor scenario. In this paper, we employ a dynamic Gaussian model (DGM) to describe the indoor ranging error. A general Gaussia...
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关键词
Distance measurement,Gaussian distribution,Nonlinear optics,Adaptation models,Atmospheric measurements,Particle measurements,Noise
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