A Kalman‐filter‐based fusion method for accurate urban localisation-Reference-Cited by-同舟云学术

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A Kalman‐filter‐based fusion method for accurate urban localisation

Published:2021-01-05 Issue:5 Volume:15 Page:653-663
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Alfakih Marwan¹^ORCID,Keche Mokhtar¹^ORCID,Benoudnine Hadjira¹²

Affiliation:

1. Signals and Images Laboratory, Electronic Department University of Science and Technology of Oran, Mohamed Boudiaf Oran Algeria

2. Electrical and Electronic Department, Faculty of Science and Technology University of Abdelhamid Ibn Badis Mostaganem Algeria

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12096

Reference33 articles.

1. A survey of active and passive indoor localisation systems

2. Intelligent Fusion of Wi-Fi and Inertial Sensor-Based Positioning Systems for Indoor Pedestrian Navigation

3. An enhanced indoor positioning method based on Wi‐Fi RSS fingerprinting;Alfakih M.;J. Commun. Software Syst.,2019

4. Advanced integration of WiFi and inertial navigation systems for indoor mobile positioning;Evennou F.;EURASIP J. Adv. Signal Process.,2006

5. Rai A. et al.:Zee: Zero‐effort crowdsourcing for indoor localization. In:Proc. 18th Annu. Int. Conf. Mob. Comput. Netw. pp.293–304(2012)

Cited by 2 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. Unscented Kalman Filter–Based Fusion of GNSS, Accelerometer, and Rotation Sensors for Motion Tracking;Journal of Structural Engineering;2024-07

2. A Gradually Linearizing Kalman Filter Bank Designing for Product-Type Strong Nonlinear Systems;Electronics;2022-02-25

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