Enhanced situational awareness for unmanned aerial vehicle operating in terminal areas with circuit flight rules
journal contributionposted on 07.03.2016 by Cunjia Liu, Matthew Coombes, Baibing Li, Wen-Hua Chen
Any type of content formally published in an academic journal, usually following a peer-review process.
This paper considers the situational awareness function associated with an Unmanned Aerial Vehicle (UAV) arriving at an uncontrolled airfield. Given no air traffic control service available within such a terminal area, the UAV needs to establish a good level of situation awareness by using its onboard sensors to detect and track other traffic aircraft. Comparing to existing works which mainly use sensor observations in the filtering process, this paper exploits the circuit flight rules to provide extra knowledge about the target behaviour. This is achieved by using the multiple models to describe the target motions in different flight phases and characterising the phase transition in a stochastic manner. Consequently, an interacting multiple model particle filter with state-dependent transition probabilities is developed to provide the required situation awareness function.
This work was supported by the U.K. Engineering and Physical Sciences Research Council (EPSRC) Autonomous and Intelligent Systems programme under the grant number EP/J011525/1 with BAE Systems as the leading industrial partner.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering