WIFI fingerprinting indoor localization using local feature-based deep LSTM

• Main Authors: Chen, Zhenghua, Zou, Han, Yang, Jianfei, Jiang, Hao, Xie, Lihua
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Deep Learning; WiFi Fingerprinting
• Online Access: https://hdl.handle.net/10356/155172
• Institution: Nanyang Technological University

Indoor localization has attracted more and more attention because of its importance in many applications. One of the most popular techniques for indoor localization is the received signal strength indicator (RSSI) based fingerprinting approach. Since RSSI values are very complicated and noisy, conve...