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HF Radar Calibration with Automatic Identification System Ships of Opportunity

Award Information
Agency: Department of Commerce
Branch: National Oceanic and Atmospheric Administration
Contract: WC133R-10-CN-0212
Agency Tracking Number: 10-39
Amount: $399,883.48
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 8.4.1
Solicitation Number: NOAA 2010-1
Solicitation Year: 1
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-09-19
Award End Date (Contract End Date): 2013-09-18
Small Business Information
1914 Plymouth Street
Mountain View, CA 94043-1796
United States
DUNS: 161169099
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Chad Whelan
 Project Manager
 (408) 773-8240
Business Contact
 Peter Lilleboe
Title: Chief Financial Officer
Phone: (408) 773-8240
Research Institution

Over 300 HF RADARs worldwide are producing ocean surface data that is used in oil spill response, search & rescue, vessel traffic management, and research. In the U.S. there are 100+ systems supplying real-time data to the Coast Guard, NOAA IOOS, OR&R and other operational groups. To provide the highest quality data to stakeholders, systems should be calibrated by measuring the receive antenna pattern. For the typical HF radar, this measurement is currently made with a portable transponder on a boat 1-2 km away. This method, while robust, is costly and limited by sea conditions. We demonstrated in Phase I that by associating AIS vessel identifications, which provide ship positions, with vessel radar echoes in HF radar data it is possible to reproduce the antenna pattern. The objective of Phase II research is to implement the method operationally. The prototype will consist of software to acquire AIS ship data and combine it with HF radar cross-spectra to produce antenna pattern measurements and their statistics. To accomplish this objective we will answer the remaining research questions from Phase I, expand the method to other operational HF radar bands (5, 25 and 42 MHz), and develop quantitative data quality metrics.

* Information listed above is at the time of submission. *

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