A Metric to Describe Access Point Significance in Location Estimation
19 January 2017
Indoor localization is a key enabling technology for numerous location based services (LBS). A promising indoor localization technique is location fingerprinting (LF), having the major advantage of exploiting already existing radio infrastructures. LF estimates users location accurately providing reliable Rf fingerprints, that are unique and stable over time. We propose a method to advance the LF by exploiting the spatio temporal characteristics of RF signals. The method quantifies an access point's (AP) significance in location estimation based on spatial uniqueness and temporal stability characteristics of its RF signals. Based on the proposed significance metric, APs contribute with different weights in location estimation. By weighting the measurements, more reliable input data are provided to the localization algorithm which consequently results in improved LF performance.
