Date of Award

1-1-2013

Document Type

Dissertation

Degree Name

Ph.D.

Department

Engineering

First Advisor

Kimon P. Valavanis

Second Advisor

Matthew J. Rutherford

Keywords

Avoidance, Collision, Doppler, FSKCW, RADAR, Sensors

Abstract

Unmanned Aircraft Systems (UAS) have become increasingly prevalent and will

represent an increasing percentage of all aviation. These unmanned aircraft are

available in a wide range of sizes and capabilities and can be used for a multitude of

civilian and military applications. However, as the number of UAS increases so does

the risk of mid-air collisions involving unmanned aircraft. This dissertation aims to

present one possible solution for addressing the mid-air collision problem in addition

to increasing the levels of autonomy of UAS beyond waypoint navigation to include

preemptive sensor-based collision avoidance. The presented research goes beyond the

current state of the art by demonstrating the feasibility and providing an example of a

scalable, self-contained, RADAR-based, collision avoidance system. The technology

described herein can be made suitable for use on a miniature (Maximum Takeoff

Weight < 10kg) UAS platform. This is of paramount importance as the miniature

UAS field has the lowest barriers to entry (acquisition and operating costs) and

consequently represents the most rapidly increasing class of UAS.

Provenance

Recieved from ProQuest

Rights holder

Allistair Moses

File size

139 p.

File format

application/pdf

Language

en

Discipline

Robotics, Engineering, Aerospace engineering

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