A Novel Real-Time Deep Learning Approach for Indoor Localization Based on RF Environment Identification

IEEE Sensors Letters(2020)

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摘要
Internet-of-Things (IoT) applications often require the use of sensor-based indoor tracking and positioning, for which the performance is significantly enhanced by identifying the type of the surrounding indoor environment. This letter develops a highly accurate and computationally efficient method for indoor localization based on a novel two-stage deep learning approach. In the first stage, a con...
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关键词
Sensor signals processing,CNN,deep learning,environment identification,IoT,indoor localization,real-time,RF,two-stage approach
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