Abstract
A growing number of devices, from car key fobs to mobile phones to WiFi-routers, are equipped with ultra-wideband radios. In the network formed by these devices, communicating modules often estimate the channel impulse response to employ a matched filter to decode transmitted data or to accurately time stamp incoming messages when estimating the time-of-flight for localization. This paper investigates how such measurements of the channel impulse response can be utilized to augment existing ultra-wideband communication and localization networks to a multi-static radar network. The approach is experimentally evaluated using off-the-shelf hardware and simple, distributed filtering, and shows that a tag-free human walking in the space equipped with ultra-wideband modules can be tracked in real time. This opens the door for various location-based smart home applications, ranging from smart audio and light systems to elderly monitoring and security systems.
Highlights
Ultra-wideband (UWB) technology is built into a growing number of devices
Car key fobs equipped with UWB radios enable secure locking and unlocking of cars [3], phones equipped with UWB radios can share data based on their relative position [4], and WiFi-routers equipped with UWB radios offer an even larger range of localization-based services [5]
The work presented in this paper aims to augment UWB radio-equipped devices with the sensing capabilities of a multi-static radar network, thereby increasing their range of applications for entertainment purposes [6], elderly monitoring [7], security [8], or smart home applications in general [9]
Summary
Ultra-wideband (UWB) technology is built into a growing number of devices. Larger companies are actively starting to invest in it [1,2]. Car key fobs equipped with UWB radios enable secure locking and unlocking of cars [3], phones equipped with UWB radios can share data based on their relative position [4], and WiFi-routers equipped with UWB radios offer an even larger range of localization-based services [5] These applications are possible as UWB technology allows devices to communicate with each other, and to localize with respect to each other. Nknots − 2}, [·] the Iverson bracket converting a logical proposition into zero or one, Nwin the window length, and Nseg the number of segments in the window which must have a higher than usual variance This is visualized in plot (c) of Figure 6. The blue line represents the the target path location as estimated by the leading edge detection algorithm given in Equation (14) with
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