A Novel RSSI Fingerprint Positioning Method Based on Virtual AP and Convolutional Neural Network

Author:

Wu Shixun1ORCID,Huang Wenxian1ORCID,Li Min1,Xu Kai1

Affiliation:

1. School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, China

Funder

Science and Technology Research Program, Chongqing Municipal Education Commission of China

Key Research and Development Projects of Sichuan-Chongqing Cooperation, Sichuan Province

2018 Chongqing Technology Innovation and Application Demonstration Major Theme Special Project

Natural Science Foundation of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

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2. Adaptability Matters: Heterogeneous Graphs for Agile Indoor Positioning in Cluttered Environments;2024 25th IEEE International Conference on Mobile Data Management (MDM);2024-06-24

3. Enhancing Indoor Positioning of Wireless Access Points using RSSI Fingerprints;2024 IEEE International Conference on Electro Information Technology (eIT);2024-05-30

4. Fingerprint-Based Localization Enabled by Low-Rank Matrix Reconstruction in Intelligent Reflective Surface-Assisted Networks;Electronics;2024-05-01

5. In-Depth Examination of a Fingerprint Recognition System Using the Gabor Filter;2024 35th Conference of Open Innovations Association (FRUCT);2024-04-24

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