Dynamic Radio Map Construction for WLAN Indoor Location

A novel indoor location algorithm based on dynamic Radio Maps construction in wireless local area network (WLAN) is proposed. The limitation of previous static Radio Map method is that reconstruction work must be taken to adapt the variation of indoor wireless environment. By taking received signal strength (RSS) values varying over time and space into account, a dynamic Radio Map is constructed to avoid this work and thus the cost for location system is reduced significantly. During offline phase, the relationship between RSS of calibration points and reference points is established by artificial neural network (ANN), and then during online phase, the real-time RSS values at reference points are predicted based on the RSS collected at calibration points in real time. Through the simulation of nearest neighbor (KNN) indoor location method for location accuracy, the feasibility and effectiveness of dynamic Radio Map construction based indoor location method is verified.