Summary
International Conference on Emerging Technologies for Communications
2021
Session Number:D1
Session:
Number:D1-2
An Experimental Study on Improving Accuracy of Location Estimation in Finger Print Using CNN and ResNet
Yu Sakanishi, Satoru Aikawa, Shinichiro Yamamoto, Yuta Sakai ,
pp.-
Publication Date:2021/12/1
Online ISSN:2188-5079
Summary:
Recently, indoor navigation system is one of the important technologies. We are studying an indoor location estimation technique using wireless LAN employing a Finger Print scheme. A database (DB) and user data (UD) are measured from wireless LAN radio waves to estimate the location using the Finger Print. A CNN is utilized to compare the UD and DB. However, the CNN estimation accuracy may deteriorate due to the degradation problem caused by the increase in the number of middle layers and the gradient vanishing problem. ResNet is a solution to this problem. In this study, we have evaluated estimation accuracies of CNN and ResNet experimentally.