skip to main content
10.1145/2494493.2494499acmotherconferencesArticle/Chapter ViewAbstractPublication PagesataccsConference Proceedingsconference-collections
research-article

Development of numerical sensor models for cooperative and non-cooperative collision avoidance

Authors Info & Claims
Published:28 May 2013Publication History

ABSTRACT

One of the most hazardous consequences of the growth of air traffic volume foreseen in the next decade is undoubtedly the threat of Mid Air Collision in proximity of major airports. Besides this consideration, another great-involved factor has to be addressed to the integration of Unmanned Aerial Vehicles in the National Airspace. Thus, in order to reduce the probability of collision risk, both manned and unmanned aircraft should be equipped with Detect, Sense and Avoid (DS&A) systems able to ensure enhanced situational awareness capabilities. Modern aircraft can use several types of collision avoidance systems to prevent unintentional contact with other aircraft, obstacles, or the ground. These systems include cooperative and non-cooperative sensors in standalone or multi-architectural configuration, such as: radars, electro-optical, Automatic Dependence Surveillance Broadcast (ADS-B) and Traffic Alert Collision Avoidance (TCAS) systems. In this framework, the European MIDCAS (MID Air Collision System) project aims at demonstrating solutions for Mid Air Collision Avoidance functions. Within this framework, numerical models of cooperative and non-cooperative systems have been realized by University of Naples "Federico II" in collaboration with the Italian Aerospace Research Center (CIRA). This paper focuses on the analysis and description of these models in Simulink™ environment. In the last part of the paper, some simulation results are presented and analyzed.

References

  1. Blackmann, S. S., Popoli, R., Design and Analysis of Modern Tracking Systems, Artech House, 1999.Google ScholarGoogle Scholar
  2. EUROCONTROL, 2007, Specifications for The Use of Military Unmanned Aerial Vehicles as Operational Air Traffic Outside Segregated Airspace, version 1.0, doc no. EUROCONTROL-SPEC-0102.Google ScholarGoogle Scholar
  3. Federal Aviation Administration, Introduction to TCAS II, version 7.1.Google ScholarGoogle Scholar
  4. GPS SPS Performance Standard (4th edition).Google ScholarGoogle Scholar
  5. Holst, G. C., Electro-optical imaging system performance, SPIE Press & JCD Publishing.Google ScholarGoogle Scholar
  6. International Civil Aviation Organization, ADS-B Implementation and Operations Guidance Document. Edition 3.0,2007.Google ScholarGoogle Scholar
  7. Johnson, E. N. and Fontaine, S., "Use of Flight Simulation to Complement Flight Testing of Low-cost UAVs," AIAA Modeling and Simulation Technologies Conference and Exhibit, AIAA 2001-4059.Google ScholarGoogle Scholar
  8. Joint Planning and Development Office, Concept of Operation for the Next Generation Air Transportation System, v.2.0.Google ScholarGoogle Scholar
  9. Kaplan, E. D., Leva, J. L., Milbert, D., Pavloff, M. S., Fundamentals of Satellite Navigation, in Kaplan, E. D., Hegarty, C. J., Understanding GPS-Principles and Applications, 2nd Edition, Artech House.Google ScholarGoogle Scholar
  10. Mozdzanowska A., et alii, Dynamics of Air Transportation System Transition and Implications for ADS-B Equipage, 7th AIAA Aviation Technology, Integration and Operations Conference.Google ScholarGoogle Scholar
  11. Seyrafy, K., Hovanessian, S. A., Introduction to electro-optical imaging and tracking systems, Artech House.Google ScholarGoogle Scholar
  12. SESAR Consortium, Work Programme for 2008-2013, Doc. SESAR consortium No. DLM-0710-002-01-00.Google ScholarGoogle Scholar
  13. Skolnik, M. I., Radar Handbook, McGrow Hill Professional.Google ScholarGoogle Scholar
  14. Sorton, E. F. and Hammaker, S., "Simulated Flight Testing of an Autonomous Unmanned Aerial Vehicle Using Flight-Gear," Infotech@Aerospace, Arlington, VA, Sept. 2005, AIAA 2005-7083.Google ScholarGoogle Scholar
  15. Swerling, P., "Radar probability of detection for some additional fluctuating target cases", IEEE Trans. Aerosp. Electron. Syst., 1997, pp. 698--709.Google ScholarGoogle ScholarCross RefCross Ref
  16. US Federal Aviation Administration (FAA), 2008, Airworthiness Certification of Unmanned Aircraft Systems. Order 8130.34.Google ScholarGoogle Scholar

Index Terms

  1. Development of numerical sensor models for cooperative and non-cooperative collision avoidance

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      ATACCS '13: Proceedings of the 3rd International Conference on Application and Theory of Automation in Command and Control Systems
      May 2013
      160 pages
      ISBN:9781450322492
      DOI:10.1145/2494493

      Copyright © 2013 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 28 May 2013

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      ATACCS '13 Paper Acceptance Rate14of42submissions,33%Overall Acceptance Rate14of42submissions,33%
    • Article Metrics

      • Downloads (Last 12 months)2
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader