Abstract
Received Signal Strength Indication (RSSI)-based Fingerprinting scheme for indoor localization can be greatly affected by noise and signal distortion caused by walls, obstacles, and frequency interference in the room. Therefore, in this paper, to improve the performance of fingerprinting-based indoor localization, we propose a localization method employing a deep learning-based denoising algorithm, Denoising Autoencoder (DAE). DAE
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Institute of Control, Robotics and Systems
Paper Title
Journal
Date
