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
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