Exploiting Fingerprint Correlation for Fingerprint-Based Indoor Localization: A Deep Learning-Based Approach

Abstract

The integration of various fingerprints could intuitively improve localization accuracy in indoor localization systems; however, the limitation of applying various fingerprints in improving localization accuracy still remains unknown. Moreover, how to design efficient indoor localization methods through fully exploiting the features of different fingerprints is to be explored as well. In this chapter, we investigate the location error of a fingerprint-based indoor localization system with the application of hybrid fingerprints. On this basis, we propose a hybrid fingerprints localization algorithm based on machine learning.