Paper
23 May 2011 UAV-borne X-band radar for MAV collision avoidance
Allistair A. Moses, Matthew J. Rutherford, Michail Kontitsis, Kimon P. Valavanis
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Abstract
Increased use of Miniature (Unmanned) Aerial Vehicles (MAVs) is coincidentally accompanied by a notable lack of sensors suitable for enabling further increases in levels of autonomy and consequently, integration into the National Airspace System (NAS). The majority of available sensors suitable for MAV integration are based on infrared detectors, focal plane arrays, optical and ultrasonic rangefinders, etc. These sensors are generally not able to detect or identify other MAV-sized targets and, when detection is possible, considerable computational power is typically required for successful identification. Furthermore, performance of visual-range optical sensor systems can suffer greatly when operating in the conditions that are typically encountered during search and rescue, surveillance, combat, and most common MAV applications. However, the addition of a miniature radar system can, in consort with other sensors, provide comprehensive target detection and identification capabilities for MAVs. This trend is observed in manned aviation where radar systems are the primary detection and identification sensor system. Within this document a miniature, lightweight X-Band radar system for use on a miniature (710mm rotor diameter) rotorcraft is described. We present analyses of the performance of the system in a realistic scenario with two MAVs. Additionally, an analysis of MAV navigation and collision avoidance behaviors is performed to determine the effect of integrating radar systems into MAV-class vehicles.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Allistair A. Moses, Matthew J. Rutherford, Michail Kontitsis, and Kimon P. Valavanis "UAV-borne X-band radar for MAV collision avoidance", Proc. SPIE 8045, Unmanned Systems Technology XIII, 80450U (23 May 2011); https://doi.org/10.1117/12.884150
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CITATIONS
Cited by 15 scholarly publications.
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KEYWORDS
Radar

Sensors

Collision avoidance

Micro unmanned aerial vehicles

Target detection

Antennas

Unmanned aerial vehicles

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