Deep Learning-based Symbolic Indoor Positioning using the Serving eNodeB

09/28/2020
by   Fahad Alhomayani, et al.
0

This paper presents a novel indoor positioning method designed for residential apartments. The proposed method makes use of cellular signals emitting from a serving eNodeB which eliminates the need for specialized positioning infrastructure. Additionally, it utilizes Denoising Autoencoders to mitigate the effects of cellular signal loss. We evaluated the proposed method using real-world data collected from two different smartphones inside a representative apartment of eight symbolic spaces. Experimental results verify that the proposed method outperforms conventional symbolic indoor positioning techniques in various performance metrics. To promote reproducibility and foster new research efforts, we made all the data and codes associated with this work publicly available.

READ FULL TEXT
research
05/30/2022

Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review

Outdoor positioning systems based on the Global Navigation Satellite Sys...
research
05/04/2022

Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets

Wearable and IoT devices requiring positioning and localisation services...
research
03/26/2023

Indoor Positioning using Wi-Fi and Machine Learning for Industry 5.0

Humans and robots working together in an environment to enhance human pe...
research
06/03/2020

A review of smartphones based indoor positioning: challenges and applications

The continual proliferation of mobile devices has encouraged much effort...
research
05/16/2018

CDM: Compound dissimilarity measure and an application to fingerprinting-based positioning

A non-vector-based dissimilarity measure is proposed by combining vector...
research
08/26/2020

Museum Accessibility Through Wi-Fi Indoor Positioning

Accessibility has long been a primary concern for major museums around t...
research
10/13/2021

Demonstrator Game Showcasing Indoor Positioning via BLE Signal Strength

For a non-technical audience, new concepts from computer science and eng...

Please sign up or login with your details

Forgot password? Click here to reset