Dynamic route prediction with the magnetic field strength for indoor positioning
نویسندگان
چکیده
منابع مشابه
Dynamic route prediction with the magnetic field strength for indoor positioning
WiFi fingerprinting has been a popular approach for indoor positioning in the past decade. However, most existing fingerprint-based systems were designed as an on demand service to guide the user to his wanted destination. This article introduces a novel feature that allows the positioning system to predict in advance which walking route the user may use, and the potential destination. To achie...
متن کاملA Novel Magnetic Indoor Positioning System for Indoor Location Services
In this contribution an accurate Magnetic Indoor Positioning System (MILPS) currently under development is introduced. MILPS utilizes artificial magnetic fields generated by coils for ranging between multiple coils and a magnetic sensor. The proposed DC magnetic signals have excellent characteristics for penetrating various obstacles in indoor environments and show neither special multipath eff...
متن کاملUsing Geomagnetic Field for Indoor Positioning
Geomagnetic field variation in support for indoor positioning and navigation has recently attracted considerable interest because of the advantage that technology based on the geomagnetic field has no infrastructure needs. Test using sensitive magnetometers has confirmed that it is possible to use geomagnetic field information for positioning purposes, however there are still issues to be addre...
متن کاملField Strength Prediction with Dominant Paths and Neural Networks for Indoor Mobile Communication
A new model for the eld strength prediction inside buildings is presented. In comparison to deterministic models it is independent of time{variant e ects. Dominant paths for the wave propagation are computed with a new algorithm and the eld strength is predicted with neural networks, trained with measurements in di erent buildings. Prediction results are presented and show a good agreement with...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Wireless and Mobile Computing
سال: 2017
ISSN: 1741-1084,1741-1092
DOI: 10.1504/ijwmc.2017.083055