As the demand for location-based services has surged, indoor localization has become a research hotspot. In this paper, we employ convolutional neural network (CNN) and configurable multipath fingerprint methods for indoor lo-calization. To validate this approach, we design an indoor localization system based on only a single access point (AP). In this system, we first configure active reflectors ...Show More
Recent research has increasingly focused on utilizing radio frequency (RF) signals for indoor sensing. Traditionally, this involves employing antenna arrays configured across multiple RF links to capture key channel parameters, such as Direction of Arrival (DoA). However, this architecture requires each sensor to have an independent RF link, which increases complexity and cost. Additionally, deplo...Show More
Previous ranging or localization systems achieve an accurate time of flight (TOF) estimation based on strict time synchronization between transmitter and receiver, which is difficult to realize in a practical communication system. To tackle this problem, we propose a phase error elimination method to achieve accurate ranging in an asynchronous manner. We implement the proposed method using a softw...Show More
