A Generative Adversarial Network (GAN) Fingerprint Approach Over LTE-Reference-Cited by-同舟云学术

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A Generative Adversarial Network (GAN) Fingerprint Approach Over LTE

Published:2024 Issue: Volume:12 Page:82083-82094
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Serreli Luigi¹^ORCID,Fadda Mauro²^ORCID,Girau Roberto³^ORCID,Ruiu Pietro²^ORCID,Giusto Daniele D.¹^ORCID,Anedda Matteo¹^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering (UdR CNIT of Cagliari), University of Cagliari, Cagliari, Italy

2. Department of Biomedical Science, University of Sassari, Sassari, Italy

3. Department of Computer Science and Engineering (DISI), University of Bologna, Bologna, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10552848.pdf?arnumber=10552848

Reference25 articles.

1. GNSS-Based Attitude Determination Techniques—A Comprehensive Literature Survey

2. Self-Calibrating Indoor Localization with Crowdsourcing Fingerprints and Transfer Learning

3. Fingerprint-based Positioning Method over LTE Advanced Pro Signals with GAN training contribute

4. CiFi: Deep convolutional neural networks for indoor localization with 5 GHz Wi-Fi

5. Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview

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