Comparing reference‐free WiFi radar sensing approaches for monitoring people and drones
Marco Di Seglio,
Francesca Filippini,
Carlo Bongioanni
et al.
Abstract:The use of WiFi signals for sensing purposes has attracted a lot of interest from both the radar and communications communities and several techniques have been explored. In the attempt of meeting the requirements for small sensor size, compactness, and easy deployment, the authors consider reference‐free approaches, namely approaches that do not require a good copy of the transmitted waveform to be available at the radar receiver. To this end, the authors first resort to a passive radar‐based processing schem… Show more
“…The use of WiFi signals is investigated in Ref. [8] to provide a small, compact, and easy-to-deploy passive system that can provide target detection without the need of a copy of the transmitted waveform at the radar receiver. The paper presents a passive processing scheme that exploits the invariant a priori known initial portion of the physical layer protocol data unit of the WiFi, and we investigate its limitations in practical applications.…”
“…The use of WiFi signals is investigated in Ref. [8] to provide a small, compact, and easy-to-deploy passive system that can provide target detection without the need of a copy of the transmitted waveform at the radar receiver. The paper presents a passive processing scheme that exploits the invariant a priori known initial portion of the physical layer protocol data unit of the WiFi, and we investigate its limitations in practical applications.…”
Unmanned Aerial Vehicle (UAV) deployment has risen rapidly in recent years. They are now used in a wide range of applications, from critical safety-of-life scenarios like nuclear power plant surveillance to entertainment and hobby applications. While the popularity of drones has grown lately, the associated intentional and unintentional security threats require adequate consideration. Thus, there is an urgent need for real-time accurate detection and classification of drones. This article provides an overview of drone detection approaches, highlighting their benefits and limitations. We analyze detection techniques that employ radars, acoustic and optical sensors, and emitted radio frequency (RF) signals. We compare their performance, accuracy, and cost under different operating conditions. We conclude that multi-sensor detection systems offer more compelling results, but further research is required.
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