Networking

Adaptive Autocorrelation Approach for Fingerprint-based Distance Dependent Positioning Algorithms in WLAN Indoor Areas

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Executive Summary

This paper addresses the adaptive autocorrelation approach for the fingerprinting-based Distance Dependent Positioning Algorithms (DDPAs) in Wireless Local Area Network (WLAN) indoor environment. As far as the authors know, although the DDPAs, like Nearest Neighbor (NN), K Nearest Neighbors (KNN) and Weighted KNN (WKNN) algorithms, have been widely utilized for the indoor and outdoor Location Based Services (LBS), the guarantee of location accuracy and precision has always been one of the significant compelling problems.

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