High Precision Indoor Positioning Method with Less Fingerprints Collection on 60 GHz

Facing huge demand for high precision indoor location services, an improved fingerprint-based positioning on 60 GHz is proposed. Unlike conventional fingerprint methods, the algorithm adopts Time of Arrival (TOA)-based ranging values as location fingerprints due to high time resolution of 60 GHz. To reduce the expense of fingerprint collection in the offline phrase, the fingerprints collection of the target location space is separated into two steps. In addition, the Gaussian Progress Regression (GPR) technique is applied to predict the missing ranging measurements. In the online phrase, sparse signal reconstruction algorithm based on Compressive Sensing (CS) is employed twice to achieve coarse and fine positioning. As the simulation results shown, the centimeter positioning accuracy can be obtained.

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