Abstract
In recent years, propagation channel characteristics have been effectively used in several applications such as motion sensing and position detection. Considerable attention has been paid to channel-sounding methods that are easy to utilize using low-cost devices. This paper presents a device-free indoor location estimation method using the spatio-temporal features of radio propagation channels using a 2.4 GHz-band three-by-three multiple-input-multiple-output (MIMO) channel sounder developed using commodity wireless local area network (WLAN). The measurement results demonstrated a reasonable performance of the proposed method with a small number of antennas.
Highlights
The technical development of the Internet of Things (IoT) has enhanced people’s demand for location services
Path and is prone to bias depending on the person’s location [18]. To cope with these problems, this study developed an indoor device-free localization (DFL) system based on commodity WiFi devices, which achieves a reasonable performance by using machine learning for the spatio-temporal features of wireless channels
We developed an indoor location estimation method using the spatio-temporal features of multipath propagation characteristics, which were obtained by separating the multipath components into three angle taps and two delay taps
Summary
The technical development of the Internet of Things (IoT) has enhanced people’s demand for location services. In the IoT era, position information is crucial. Among these services, indoor positioning-as-a-service, closely related to people’s lives, has attracted a great deal of attention. The indoor positioning system (IPS) can be widely used in home surveillance systems, nursing care for the elderly, and patient monitoring in hospitals [1]. Most existing surveillance systems use cameras for monitoring purposes [2]. These have insufficient coverage and blind areas. It is necessary to increase the number of cameras. This brings an excessive cost and complex configuration. Privacy is still a problem that cannot be ignored
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