Turns Wi-Fi channel measurements into a map image and uses a CNN-LSTM plus particle filter to locate pedestrians with sub-meter claimed accuracy.
Experiment Setup We use a low-power pocket held embedded PC as a Wi-Fi device for collecting test data set
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Hybrid CNN-LSTM based Indoor Pedestrian Localization with CSI Fingerprint Maps
Turns Wi-Fi channel measurements into a map image and uses a CNN-LSTM plus particle filter to locate pedestrians with sub-meter claimed accuracy.