NEURAL NETWORK- INSTANTIATED LIGHTWEIGHT CALIBRATION OF RSS FINGERPRINT DATASET

摘要

A method and system of instantiating a lightweight re-calibration of areceivedsignal strength (RSS) fingerprint dataset for mobile device indoor navigation.The method comprises, based on RSS parameters acquired from a plurality ofmobile devices acquired at a set of positions within an indoor area,accumulating the RSS parameters in accordance with a trained neuralnetwork-based RSS fingerprint dataset in a fingerprint database of the indoorarea; identifying respective positions of a subset of the set of positionshavinga variance that exceeds a threshold variance between observed RSSparameters and RSS parameters determined in accordance the trained neuralnetwork; and when contiguous positions of the subset are encompassed by aboundary representing a portion of the indoor area, instantiating a re-calibration of the RSS fingerprint dataset for mobile device navigation withinthe portion of the indoor area.