CNN based approach for Indoor Positioning Services using RSSI Fingerprinting Technique-Reference-Cited by-同舟云学术

CNN based approach for Indoor Positioning Services using RSSI Fingerprinting Technique

Published:2022-05-30 Issue: Volume: Page:
ISSN:
Container-title:2022 International Wireless Communications and Mobile Computing (IWCMC)
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Author:

Hassen Wiem Fekih¹,Mezghani Jihene¹

Affiliation:

1. Chair of distributed Information Systems University of Passau,Passau,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823957/9824097/09824987.pdf?arnumber=9824987

Reference11 articles.

1. Joint Time-Frequency RSSI Features for Convolutional Neural Network-Based Indoor Fingerprinting Localization

2. Applying Deep Neural Network (DNN) for Robust Indoor Localization in Multi-Building Environment

3. Data-Dependent Label Distribution Learning for Age Estimation

4. Improved RSSI-Based Data Augmentation Technique for Fingerprint Indoor Localisation

5. Ran-dom forest and WiFi fingerprint-based indoor location recognition system using smart watch;lee;Human-centric Computing and Information Sciences,2019

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1. Survey of Deep Learning Applications in WiFi Localization;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

2. Improved-RSSI-based indoor localization by using pseudo-linear solution with machine learning algorithms;Journal of Electrical Systems and Information Technology;2024-02-17

3. VTIL: A multi-layer indoor location algorithm for RSSI images based on vision transformer;Engineering Research Express;2024-02-01

4. Decimeter-Level Indoor Localization Using WiFi Round-Trip Phase and Factor Graph Optimization;IEEE Journal on Selected Areas in Communications;2024-01