Details:

Journal Title:
Journal of Atmospheric and Oceanic Technology
Personal Author:
Cahl, Douglas ; Voulgaris, George ; Leonard, Lynn
Cahl, Douglas ; Voulgaris, George ; Leonard, Lynn Less -
NOAA Program & Office:
NOS (National Ocean Service)
Description:
We assess the performance of three different algorithms for estimating surface ocean currents from two linear array HF radar systems. The delay-and-sum beamforming algorithm, commonly used with beamforming systems, is compared with two direction-finding algorithms: Multiple Signal Classification (MUSIC) and direction finding using beamforming (Beamscan). A 7-month dataset from two HF radar sites (CSW and GTN) on Long Bay, South Carolina (United States), is used to compare the different methods. The comparison is carried out on three locations (midpoint along the baseline and two locations with in situ Eulerian current data available) representing different steering angles. Beamforming produces surface current data that show high correlation near the radar boresight (R2 ≥ 0.79). At partially sheltered locations far from the radar boresight directions (59° and 48° for radar sites CSW and GTN, respectively) there is no correlation for CSW (R2 = 0) and the correlation is reduced significantly for GTN (R2 = 0.29). Beamscan performs similarly near the radar boresight (R2 = 0.8 and 0.85 for CSW and GTN, respectively) but better than beamforming far from the radar boresight (R2 = 0.52 and 0.32 for CSW and GTN, respectively). MUSIC’s performance, after significant tuning, is similar near the boresight (R2 = 0.78 and 0.84 for CSW and GTN) while worse than Beamscan but better than beamforming far from the boresight (R2 = 0.42 and 0.27 for CSW and GTN, respectively). Comparisons at the midpoint (baseline comparison) show the largest performance difference between methods. Beamforming (R2 = 0.01) is the worst performer, followed by MUSIC (R2 = 0.37) while Beamscan (R2 = 0.76) performs best.
Keywords:
[+]
Atmospheric Science Ocean Engineering
Source:
Journal of Atmospheric and Oceanic Technology, 40(2), 191-218
DOI:
https://doi.org/10.1175/jtech-d-22-0005.1
ISSN:
0739-0572;1520-0426;
Format:
PDF
Publisher:
American Meteorological Society
Document Type:
Journal Article
Funding:
Grant no. NA16NOS0120028
Rights Information:
Other
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:9bb19c378e6cd33bb65cf1eaf4d3963989769058542c566f0640e940ee87fa3e
Download URL:
https://repository.library.noaa.gov/view/noaa/60117/noaa_60117_DS1.pdf
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