Indoor localisation algorithm based on MSIA and FCSO-Reference-Cited by-同舟云学术

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Indoor localisation algorithm based on MSIA and FCSO

Published:2020-07 Issue:11 Volume:14 Page:1687-1695
ISSN:1751-8636
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Li Shirong¹,Fu Maosheng¹,Zhu Xuemei²,Zhang Fenghui¹,Chang Xinyu³,Zuo Xukun¹,He Fugui¹

Affiliation:

1. Internet of Things Application LaboratoryWest Anhui UniversityLu'an236000Anhui ProvincePeople's Republic of China

2. Experimental Training Teaching Management DepartmentWest Anhui UniversityLu'an236000Anhui ProvincePeople's Republic of China

3. School of Computer Science & TechnologyBeijing Institute of TechnologyBeijing100081People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2019.1187

Reference41 articles.

1. Situation and development tendency of indoor positioning

2. Analysis of human mobility patterns from GPS trajectories and contextual information

3. Improved image GPS location estimation by mining salient features;Li J.;Signal Process. Image Commun.,2015

4. Levelling co-located GNSS and tide gauge stations using GNSS reflectometry

5. SunP. LiZ. PengJ.Y.et al.: ‘A BeiDou navigation system aided method for localization in manually deployed wireless sensor networks’. Proc. Third Int. Conf. Wireless Communication and Sensor Networks (WCSN 2016) Wuhan China 10–11 December2016 doi:https://doi.org/10.2991/icwcsn-16.2017.127

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Indoor Localization Algorithm Based on Compressed Sensing and Inertial Navigation;2021 International Conference on Computer, Internet of Things and Control Engineering (CITCE);2021-11

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