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GISMO Simulation Status • Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling Airborne SAR and IFSAR processor Ice sounding processing P-band simulation results VHF simulation results

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Page 1: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

GISMO Simulation Status

• Objective

• Radar and geometry parameters

• Airborne platform upgrade

• Surface and base DEMs

• Ice mass reflection and refraction modeling

• Airborne SAR and IFSAR processor

• Ice sounding processing

• P-band simulation results• VHF simulation results

Page 2: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Objective• Purpose

is to perform analysis to validate a new technique for ice sounding in polar areas using a low frequency airborne SAR platform and interferometry technology and provide some guidances about the airborne SAR system design and ice sounding processing.

• Approach – simulation of phase history data using the geometry and

characteristics planned for GISMO– processing phase history data to single look complex data and

interferograms using VEXCEL’s Airborne SAR Processor and IFSAR processor

– assessment of the novel sounding technique performance in clutter cancellation and mapping basal topography.

Page 3: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Radar and geometry parameters

Characteristics P-Band VHF

RF Carrier Freq 430 MHz 150 MHz

RF Bandwidth 20 MHz 50 MHz

Pulse Width 20 usec 20 usec

PRF 200 Hz 200 Hz

Sampling Freq 120 MHz 120 MHz

Antenna Elements

4 4

Platform Height 6000 m 6000 m

Baseline 20 m 20 m

Page 4: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Airborne Platform upgrade

• Generate airborne sensor track– Scene center : SC(, , 0)

– Orbit altitude : h

– Track angle : – Left or right looking

– Look angle : L

• Simulate air turbulence

Along track: x = xa • sin(2fxat + xa) + xe • sin(2fxet + xe)

Horizontal: y = ya • sin(2fyat + ya) + ye • sin(2fyet + ye)

Vertical: z = za • sin(2fzat + za) + ze • sin(2fzet + ze)

• Multiple slave antennas simulation

Page 5: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Surface and base DEMs (Greenland)

Surface DEM Base DEM

62.5 km

42.25 km

Page 6: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Ice mass reflection and refraction modeling

n1=1

n2 =1.8

n3 =3(for rocks)

1

2

basal DEM(land or water)

surface DEM

ice mass

S

A

B

C

Fig. 1 ice mass reflection and refraction model

H

D

h

d

s

xb

xs

Page 7: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Space-borne SAR phase history data simulation

• Reflectivity map calculation for both reference and slave antennas

• Phase history data generation

Page 8: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Reflectivity map calculation

1

2

basal DEM(n3: land or sea water)

surface DEM (n1)

ice mass (n2)

S(sensor)

A

B

C

ground range grids

Fig. 2 Implementation of reflectivity map calculation

S2

(sensor) B(baseline)

All quantities: slant range, incidence angle, refraction angle and reflection coefficients, are calculated at each ground range grid. A slant range grid will lie between two neighboring ground range grids. The reflectivity coefficient for each slant range grid is calculated through interpolation of these two neighboring ground range bins.  

When calculating the reflection from the basal, we still start from the ground range grid on the surface. The refraction vector may or may not hit exactly the ground range grids. Bilinear interpolation is therefore used to calculate the refraction pointing vector from each surface ground grid to the basal. At each surface ground range grid the basal reflection coefficient and the slant range from the sensor to the basal are calculated.  

All the calculations for the second orbit are the same as for the reference orbit except the interferometric phase, which is the result of the non-zero baseline and DEMs, is added to the secondary reflectivity map for both surface and basal calculations.

Page 9: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Phase history simulation

• Inverse chirp scaling

Phase history data

HSAR(f) SLC data

Reflectivity map

H-1SAR(f) Phase history data

Page 10: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Airborne SAR Processor

• Time-domain convolution-back-projection – Accurate but time consuming

– Capable of 3D image generation

– Accept any imaging plane

• Time-domain fast back-projection– Less accurate but much faster

– Suitable for airborne large scale image processing

– Accept any imaging plane

Page 11: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Airborne IFSAR Processor

• Image registration• Create interferogram• Filter interferogram• Phase unwrapping

– Only MiniMax is available Now

– Need a better phase unwrapper even though it might be very slow

Page 12: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Ice Sounding Processing

• Interferometric ice sounding processing– Band-pass filtering to extract surface and

basal interferogram– Derive surface topography – Derive base topography

Page 13: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

P-Band simulation

• Antenna pattern used• Surface and basal DEMs used• Simulated reflectivity map and phase history data• FBP processed images• Interferograms without and with band-pass

filtering• Derived surface and basal topography

Page 14: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

Antenna pattern with 4 elements4-element range pattern

-35

-30

-25

-20

-15

-10

-5

0

-100 -90 -80 -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100

look angle (deg.)

att

enuation (

dB

)

4-element azimuth pattern

-30

-25

-20

-15

-10

-5

0

-100 -90 -80 -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 50 60 70 80 90 100aspect angle (deg.)

attenuatio

n (

dB

)

Page 15: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

P-band simulation … • DEMS in slant range geometry

6.5 km

surface DEM

6.6 km (ground range)

echo delay caused by the ice thickness at nadir

basal DEM

6.6 km

Page 16: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

P-band simulation …

• Reflectivity Map

• Amplitude images of the phase history data

• FBP processed SLC image

Page 17: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

P-band simulation … • 8-azimuth-look interferogram

2

ground range 6.6 km

Azimuth (6.5 km)

0

Filtered interferogram

Page 18: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

P-band simulation …ground range 6.6 km

Azimuth (6.5 km)

Derived surface DEM

DEM error map

Page 19: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

P-band simulation……basal interferogramground range 6.6 km

Azimuth (6.5 km)

Band-pass filtered

8-looks interferogram

Page 20: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

P-band simulation……basal interferogramground range 6.6 km

Azimuth (6.5 km)

Goldstein -filter filtered interferogram

Unwrapped phase

Page 21: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

VHF simulation

• Simulated reflectivity map and phase history data• FBP processed images• Interferograms without and with band-pass

filtering

Page 22: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

VHF simulation

• Reflectivity Map

• Amplitude images of the phase history data

• FBP processed SLC image

Page 23: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

VHF simulation • 8-look interferogram

ground range 6.6 km

Azimuth (6.5 km)

Page 24: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

VHF simulation

• Band-pass filtered

-filtered

Page 25: GISMO Simulation Status Objective Radar and geometry parameters Airborne platform upgrade Surface and base DEMs Ice mass reflection and refraction modeling

GISMO’s Potentials for Tomography Applications

• One flight track– track altitude : 10 km

– 4 ~ 6 receiving antenna elements

– total aperture: 20 m

• Multiple flights– Assume 10 or more flights

– Total 40 ~ 60 measuremes

– total aperture: 400 m

H (flight height)

1

2

Baseline

D (ice thickness)