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Wifi 本地化与高斯过程

Wifi Localization with Gaussian Processes
课程网址: http://videolectures.net/gpip06_ferris_wlgp/  
主讲教师: Brian Ferris
开课单位: 华盛顿大学
开课时间: 2007-02-25
课程语种: 英语
中文简介:
从无线信号强度估计移动设备的位置是一个有趣的研究问题,特别是考虑到在建筑物、墙壁或人等障碍物存在的情况下,信号在空间中传播的复杂性。高斯过程已经被用来解决这种信号强度局部化问题。我们将这项工作扩展到室内WiFi定位,并提出了新的核心功能,提高了高斯过程模型的精度,尤其是在面对稀疏的训练数据时。此外,我们还介绍了利用高斯过程潜在变量模型同时进行映射和定位的初步结果。
课程简介: Estimating the location of a mobile device from wireless signal strength is an interesting research problem, especially given the complexity of signal propagation through space in the presence of obstacles such as buildings, walls, or people. Gaussian processes have already been used to solve such signal strength localization problems. We extend this work to indoor WiFi localization and present novel kernel functions which increase the accuracy of the Gaussian process model, especially when faced with sparse training data. We additionally present preliminary results of simultaneous mapping and localization using Gaussian process latent variable modeling.
关 键 词: 无线信号; 信号传播; 无线定位; 高斯过程
课程来源: 视频讲座网
最后编审: 2019-11-28:lxf
阅读次数: 40