Airborne Targets Detection by UAV-Embedded Passive Radar

Gabard, B.; Wasik, Valentine; Rabaste, Olivier; Deloues, Thierry; Poullin, Dominique; Jeuland, H.

doi:10.1109/eurad48048.2021.00095

Cited by 6 publications

(2 citation statements)

References 8 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Often, drone radars are specifically designed for UAVs, which are small enough and use little energy, as they receive it from batteries [22]. In some cases, only passive radars are used, which receive signals using FM broadcasting [23], VHF [24] or UHF [25] frequency bands. In order to use low-frequency bands (mostly FM bands) for passive radars, softwaredefined radio equipment or custom digital receivers combining a front-end digitizer and FPGA-based real-time data signal processing software are usually used.…”

Section: Introductionmentioning

confidence: 99%

Hostile UAV Detection and Neutralization Using a UAV System

Rudys

Laučys

Ragulis

et al. 2022

Drones

View full text Add to dashboard Cite

The technologies of Unmanned Aerial Vehicles (UAVs) have seen extremely rapid development in recent years. UAV technologies are being developed much faster than the means of their legislation. There have been many means of UAV detection and neutralization proposed in recent research; nonetheless, all of them have serious disadvantages. The essential problems in the detection of UAVs is the small size of UAVs, weak radio wave reflection, weak radio signal, and sound emitting. The main problem of conventional UAV countermeasures is the short detection and neutralization range. The authors propose the concept of the airborne counter-UAV platform (consisting of several vehicles) with radar. We use a low-cost marine radar with a high resolution 2 m wide antenna, embedded into the wing. Radar scanning is implemented by changing the heading of the aircraft. For the countermeasures, the authors suggest using a small rotorcraft UAV carried by a bigger fixed-wing one. A mathematical model that allows the calculation of the coordinates of the detected drone while scanning the environment in a moving UAV with radar was created. Furthermore, the results of integrated radar performance with a detected drone and the results of successful neutralization experiments of different UAVs were achieved.

show abstract

Section: Introductionmentioning

confidence: 99%

Hostile UAV Detection and Neutralization Using a UAV System

Rudys

Laučys

Ragulis

et al. 2022

Drones

View full text Add to dashboard Cite

show abstract

“…Based on different types of available measurements, most of the existing researches can be divided into four categories: (1) position-based [1]; (2) displacementbased [2]; (3) distance-based [3] and (4) bearing-based [4]. Among these measurements to achieve formation control, bearing measurements have the lowest acquisition cost, which can be obtained by a variety of sensors, such as laser radars [5], millimeter-wave radars [6], passive radars [7], [8], cameras [9], etc. Especially with the wide application of vision sensors in robotics, formation control based on bearing measurements has attracted the attention of many scholars due to the natural connection between the vision-based control problem and the bearing-based control strategies.…”

Section: Introductionmentioning

confidence: 99%

Relative Displacement Measurement Based Affine Formation Tracking Control for Nonholonomic Kinematic Agents

Chen

Wang

2022

2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)

View full text Add to dashboard Cite

This paper studies the bearing-based time-varying formation control problem for unicycle-type agents without bearing rigidity conditions. In the considered problem, only a small set of agents, named as anchors, can obtain their global positions, and the other agents only have access to the bearing information relative to their neighbors. To address the problem, we propose a novel scheme integrating the distributed localization algorithm and the observer-based formation tracking controller. The designed localization algorithm estimates the global position by using inter-agent bearing measurements, and the observer-based controller tracks the desired formation with the estimated positions. A key distinction of our approach is extending the localization-and-tracking control scheme to the bearing-based coordination of nonholonomic systems, where the desired inter-agent bearings can be time-varying, instead of the constant ones assumed in most of the existing researches. The asymptotic stability of the coupled localization-and-tracking control system is proved, and simulations are carried out to validate the theoretical analysis.

show abstract