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Further Validation of the Polar-Current-Shell Current Algorithm for X-band
Marine Radar
Weimin Huang, Ruben Carrasco, Chengxi Shen, Eric W. Gill, Jochen
Horstmann
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Outline
1. Introduction2. Polar-Current-Shell (PCS)
Algorithm3. Experiment Results4. Conclusion
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1. Introduction
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Typical Pulsed Marine Radar Image
x (km)
y (k
m)
Image 1; ZPP 0.21677; LCDP 0
-2 -1 0 1 2
-2
-1
0
1
20
50
100
150
200
250
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Existing Current Algorithms
1. Least-squares (1985)2. Weighted least-squares (2002)3. Iterative least-squares (ILS) (2001)4. Dispersive Surface Classificator
(DiSC) (2007)5. Normalized scalar product (NSP)
(2010)
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2. Polar-Current-Shell (PCS) Algorithm
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1. Collecting temporal sequence of radar sub-images
x (km)
y (k
m)
Image 1; ZPP 0.21677; LCDP 0
-2 -1 0 1 2
-2
-1
0
1
20
50
100
150
200
250
x (km)
y (k
m)
Image 1; ZPP 0.21677; LCDP 0
-2 -1 0 1 2
-2
-1
0
1
20
50
100
150
200
250
x (km)
y (k
m)
Image 1; ZPP 0.21677; LCDP 0
-2 -1 0 1 2
-2
-1
0
1
20
50
100
150
200
250
32Δt
yt
x
Key steps
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2. Obtaining 3-D image spectra by 3-D FFT on sub- image sequence
3. Extraction of the dispersion shell
4. Obtaining polar current shell
5. Determining the current parameters
See more details on next slide.
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Block diagram
𝜔𝑈 (𝑘𝑥 ,𝑘𝑦 )=𝑘𝑈𝑐𝑜𝑠 𝜃=𝜔0 (𝑘𝑥 ,𝑘𝑦 ) −√𝑔𝑘
𝜔𝑈 (𝑘 ,𝜃�⃗� )=𝑘𝑈𝑐𝑜𝑠𝜃=𝑘𝑈𝑐𝑜𝑠(𝜃
�⃗�−𝜑𝑈)
𝜔𝑈 (𝑘 ,𝜃�⃗�)
𝑘=𝑈𝑐𝑜𝑠(𝜃
�⃗�−𝜑𝑈 )
Extracted dispersion shell
0(k
x, k
y) (256 256)
3-D image spectraI0(k
x, k
y, ) (256 256 256)
Radar sub-image sequence I
0(x, y, t) (128 128 32)
Polar current shell
U(k,
k) (128 360)
Current velocityU,
U
Curve fitting alongcircumferential directions
Remove outliers onradial directions
Polar transform
Generate Cartesiancurrent shell
Smooth tapering windowW(n)
3-D FFT
High-pass filter
Energy threshold filter
Peak identification
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3. Experiment Results
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Radar data information
Radar system specification
Collecting date 07/30/2014; 08/28/2014
Polarization VV
Radar location (FINO3 platform)
55.195 N, 7.158 E
Antenna rotation speed 28 rpm
Range resolution 7.5 m
FINO-3 offshore research platform
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Comparison of ADCP-measured and radar-derived current speed
Results (current speed)
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Results (current direction)
Comparison of ADCP-measured and radar-derived current direction
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Significant wave height (blue) and wind speed (red)
Results (sea state)
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Zoomed view of current results: speed (left); direction (right)
Results (cont.)
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Distribution of current direction estimation error with respect to ADCP-measured current speed.
Results (cont.)
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Scatter plot of the difference of current vector East and North components measured by ADCP (at 8 m depth) and radar (left) ILS; (middle) NSP; (right)PCS.
Results (difference)
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Results (error statistics)
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4. Conclusion
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• Current information extracted from V-pol marine radar images using the polar-current-shell (PCS) algorithm.
• Radar results from the PCS algorithm agree with the ADCP data.
• The performance of the PCS algorithm is similar to that of the NSP and ILS methods.
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Acknowledgement
1. NSERC Discovery grant support.
2. Department of Innovation, Business and Rural Development of Newfoundland and Labrador grant support.
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