2017
Infrastructure-less indoor localization using light fingerprints
ICASSP 2017accepted
An infrastructure-less indoor localization system is proposed based on fingerprints of light signals acquired at high frequencies. In contrast to other systems that modulate lights, the proposed system distinguishes lights by learning from training samples. Due to slight differences in the electroni…