A Fast Indoor Positioning Using a Knowledge-Distilled Convolutional Neural Network (KD-CNN)
Fingerprint-based indoor positioning systems (F-IPS) may provide inexpensive solutions to GPS-denied environments.Most F-IPSs adopt traditional machine learning for position prediction, resulting in low accuracy.Deep neural networks (DNN) were recently employed for F-IPSs to minimize positioning errors.Nevertheless, a DNN-IPS fails to guarantee hig