Revisiting the Spaceborne Illuminators of Opportunity for Airborne Object Tracking

Robie, John; Famili, Alireza; Stavrou, Angelos

doi:10.1109/mc.2022.3196190

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…Radar systems are categorized based on their configuration, particularly in terms of the spatial arrangement of their transmitter and receiver components. The three primary configurations are monostatic, bistatic, and multistatic, each with distinct characteristics, advantages, and applications [42]. A visual illustration of these three radar configurations is depicted in Figure 2.…”

Section: Radar Configurationsmentioning

confidence: 99%

“…The physics behind radar systems encompasses two primary types of scattering: forward scattering and backscattering [42,77]. Forward scattering is detailed through a modern perspective, indicating that radar waves can scatter in the direction forward from their original path when the bistatic angle, the angle from the transmitter, through the target, to the receiver, is close to 180 • [84][85][86][87].…”

Section: Radar Scatteringmentioning

confidence: 99%

“…The drone popularity, mixed use cases, and diverse environmental conditions have only exacerbated the detection challenges [36][37][38][39][40]. Currently, there are different methods for detecting drones in the airspace: active radars (e.g., [41]), passive radars (e.g., using spaceborne illuminators of opportunity [42]), acoustic sensors (e.g., [43]), Radio Frequency (RF) signal detection (e.g., [44]), and visual and optical sensors (e.g., [45]), as shown in Figure 1. The drone detection system is typically deployed in close proximity to the area of interest.…”

Section: Introductionmentioning

confidence: 99%

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Securing Your Airspace: Detection of Drones Trespassing Protected Areas

Famili,

Stavrou,

Wang

et al. 2024

Sensors

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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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Section: Radar Configurationsmentioning

confidence: 99%