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Modified Fingerprinting Algorithm for Indoor Location

—This paper proposes a modified fingerprinting hybrid location algorithm for homogeneous and heterogeneous indoor environment. The new method is designed based on fingerprinting to improve the location accuracy. It works in two phases: one is offline phase, which opts for the location of reference point by different kind of complex regions. Another one is online phase, which proposes dynamic K for finding the nearest reference point to improve location accuracy. Sensorassisted tracking hybrid positioning function is utilized to further improve the low location accuracy problem of heterogeneous regions. Simulation results show that the new method obtains approximately 37.7% improvement comparing with the classical fingerprinting-based algorithms, the location accuracy reaches to 0.5m in 200m×200m heterogeneous network.