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	Sensitivity-based Adaptive Particle Filter for Geomagnetic Indoor Localization
	Menghan Zheng; Yubin Zhao; Yueshun He; Cheng-Zhong Xu
	2017
会议日期	2017
会议地点	青岛
英文摘要	Geomagnetic field is almost stable in the indoor environment. The interference sources which are distributed randomly throughout the whole area can form an identical pattern. In this paper, we propose a sensitive based adaptive particle filter scheme to locate the target with geomagnetic field. Firstly, we construct the feature map using interpolation method after gathering intensity and three-component of geomagnetic field by a smartphone. Then we divide the space into some subspaces and utilize the measured values to find best match map. Finally, we integrate perceptual information into particle filter for adaptive processing. Our scheme can adjust the filter parameters to match different feature points automatically, which enhance the relationship between the target positions and the feature map using particle filter. The experimental results indicate that comparing to the traditional particle filter, our scheme is more stable. The positioning error achieves an average loss of 0.51 m through numerical experiments.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12671]
专题	深圳先进技术研究院_数字所
作者单位	2017
推荐引用方式 GB/T 7714	Menghan Zheng,Yubin Zhao,Yueshun He,et al. Sensitivity-based Adaptive Particle Filter for Geomagnetic Indoor Localization[C]. 见:. 青岛. 2017.

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