Sensitivity-based Adaptive Particle Filter for Geomagnetic Indoor Localization
文献类型：会议论文
| 作者 | Menghan Zheng; Yubin Zhao; Yueshun He; Cheng-Zhong Xu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。