• DocumentCode
    3313297
  • Title

    A system trade model for the monitoring of coastal vessels using HF surface wave radar and ship automatic identification systems (AIS)

  • Author

    Vesecky, John F. ; Laws, Kenneth E. ; Paduan, Jeffery D.

  • Author_Institution
    Electr. Eng. Dept., Univ. of California at Santa Cruz, Santa Cruz, CA, USA
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3414
  • Lastpage
    3417
  • Abstract
    Coastal nations have an interest in maritime domain awareness for applications in national security, coastal conservancy, fishery and stewardship of the exclusive economic zones (EEZs) along their coastlines. Using our previously developed HF radar and AIS ship detection models we find signal to noise ratio (SNR) as a function of range, including ducted propagation for the AIS radio signals. We use these SNR estimates to find probability of detection Pd and then explore multiple systems and stations at variable spacings along the coast. Our example HF radar has significant power and aperture, similar to the Pisces radar. The AIS model is for high power (12.5 W) AIS and a significantly elevated receiver (≈ 250 ft asl). A combined system of HF radar and AIS shows good capability (Pd > 0.9) to ranges of ≈ 125 km for small ships and to 200 km for large ships. Considering a system of sites separated by 100 km we find that a Pd of > 0.9 can be maintained to a distance off shore of 130 km even for small, 120 ton, ships.
  • Keywords
    marine radar; monitoring; HF surface wave radar; coastal conservancy; coastal vessel monitoring; detection probability; ducted propagation; exclusive economic zones; fishery; maritime domain awareness; national security; ship automatic identification systems; signal to noise ratio; stewardship; system trade model; Marine vehicles; Monitoring; Sea measurements; Signal to noise ratio; Spaceborne radar; AIS; HF radar; Marine Domain Awareness; Ship Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650279
  • Filename
    5650279