SlideShare uma empresa Scribd logo
1 de 16
Demonstration of Target Vibration Estimation in Synthetic Aperture Radar Imagery Qi Wang1,2, Matthew Pepin1,2, Ryan J. Beach2, Ralf Dunkel3, Tom Atwood2,4, Armin W. Doerry4, Balu Santhanam2, Walter Gerstle5, and Majeed M. Hayat1,2 1Center for High Technology Materials, University of New Mexico, Albuquerque, NM, 87131 USA 2Depart. of Electrical and Computer Science, University of New Mexico, Albuquerque, NM, 87131 USA 3General Atomics Aeronautics Systems, Inc., San Diego, CA 92064 USA 4Sandia National Laboratories, Albuquerque, NM 87185 USA 5Depart. of Civil Engineering, University of New Mexico, Albuquerque, NM, 87131 USA
Content Motivation Signal model Algorithm development The discrete fractional Fourier transform Experimental results Performance analysis Conclusions
Motivation ,[object Object]
The ability of remote sensing target vibrations is important:
Avoids the cost of acquiring and installing accelerometers on remote structures
Enables sensing vibrations of structures that not easily accessible
Synthetic aperture radar has the potential due to its active illumination feature ,[object Object]
Micro-Doppler effect RF pulse:  X0 y (azimuth) Frequency (Hz) t (sec) Doppler frequency caused by both the plane’s motion and target vibration Doppler frequency caused by the plane’s motion
Signal model The SAR phase history is de-ramped and reformatted; autofocus is performed if necessary. The signal from a vibrating scatterer after range compression is: ,[object Object]
fc: carrier frequency
c: speed of the microwave
V: speed of the antenna
y: azimuth position of the vibrating scatterer
fprf: the pulse repetition frequency
rd[n]: time-varying range of the vibrating scatterer
 φ: other (constant) phase terms

Mais conteúdo relacionado

Mais procurados

Slide Handouts with Notes
Slide Handouts with NotesSlide Handouts with Notes
Slide Handouts with NotesLeon Nguyen
 
14. doppler radar and mti 2014
14. doppler radar and mti 201414. doppler radar and mti 2014
14. doppler radar and mti 2014Lohith Kumar
 
Intro to seismic 2
Intro to seismic 2Intro to seismic 2
Intro to seismic 2zhwchen
 
An Introduction to Eye Diagram, Phase Noise and Jitter
An Introduction to Eye Diagram, Phase Noise and JitterAn Introduction to Eye Diagram, Phase Noise and Jitter
An Introduction to Eye Diagram, Phase Noise and JitterDr. Mohieddin Moradi
 
synthetic aperture radar
synthetic aperture radarsynthetic aperture radar
synthetic aperture radarAmit Rastogi
 
An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators ...
An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators  ...An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators  ...
An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators ...jmicro
 
The active remote sensing equation
The active remote sensing equationThe active remote sensing equation
The active remote sensing equationtobiasotto
 
Radar Systems for NTU, 1 Nov 2014
Radar Systems for NTU, 1 Nov 2014Radar Systems for NTU, 1 Nov 2014
Radar Systems for NTU, 1 Nov 2014TBSS Group
 
Radar Systems -Unit- I : Radar Equation
Radar Systems -Unit- I : Radar Equation Radar Systems -Unit- I : Radar Equation
Radar Systems -Unit- I : Radar Equation VenkataRatnam14
 
Radar 2009 a 4 radar equation
Radar 2009 a  4 radar equationRadar 2009 a  4 radar equation
Radar 2009 a 4 radar equationForward2025
 
Radar 2009 a 18 synthetic aperture radar
Radar 2009 a 18 synthetic aperture radarRadar 2009 a 18 synthetic aperture radar
Radar 2009 a 18 synthetic aperture radarForward2025
 
GeoStreamer PESA News 042009 Andrew Long
GeoStreamer PESA News 042009 Andrew LongGeoStreamer PESA News 042009 Andrew Long
GeoStreamer PESA News 042009 Andrew LongAndrew Long
 
4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.pptgrssieee
 

Mais procurados (20)

Slide Handouts with Notes
Slide Handouts with NotesSlide Handouts with Notes
Slide Handouts with Notes
 
Pulse Doppler Radar
Pulse Doppler RadarPulse Doppler Radar
Pulse Doppler Radar
 
14. doppler radar and mti 2014
14. doppler radar and mti 201414. doppler radar and mti 2014
14. doppler radar and mti 2014
 
Intro to seismic 2
Intro to seismic 2Intro to seismic 2
Intro to seismic 2
 
Clock jitter
Clock jitterClock jitter
Clock jitter
 
Dr. Wiley - PRI Analysis and Deinterleaving
Dr. Wiley - PRI Analysis and DeinterleavingDr. Wiley - PRI Analysis and Deinterleaving
Dr. Wiley - PRI Analysis and Deinterleaving
 
Introduction to Radar System & Component Tests
Introduction to Radar System & Component TestsIntroduction to Radar System & Component Tests
Introduction to Radar System & Component Tests
 
Real-Time Jitter Measurements
Real-Time Jitter Measurements Real-Time Jitter Measurements
Real-Time Jitter Measurements
 
An Introduction to Eye Diagram, Phase Noise and Jitter
An Introduction to Eye Diagram, Phase Noise and JitterAn Introduction to Eye Diagram, Phase Noise and Jitter
An Introduction to Eye Diagram, Phase Noise and Jitter
 
synthetic aperture radar
synthetic aperture radarsynthetic aperture radar
synthetic aperture radar
 
An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators ...
An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators  ...An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators  ...
An Active, Tracking Microwave Notch Filter Using a Pair of Gunn Oscillators ...
 
The active remote sensing equation
The active remote sensing equationThe active remote sensing equation
The active remote sensing equation
 
Radar Systems for NTU, 1 Nov 2014
Radar Systems for NTU, 1 Nov 2014Radar Systems for NTU, 1 Nov 2014
Radar Systems for NTU, 1 Nov 2014
 
Radar Systems -Unit- I : Radar Equation
Radar Systems -Unit- I : Radar Equation Radar Systems -Unit- I : Radar Equation
Radar Systems -Unit- I : Radar Equation
 
Radar 2009 a 4 radar equation
Radar 2009 a  4 radar equationRadar 2009 a  4 radar equation
Radar 2009 a 4 radar equation
 
PresentationSAR
PresentationSARPresentationSAR
PresentationSAR
 
Radar ppt
Radar pptRadar ppt
Radar ppt
 
Radar 2009 a 18 synthetic aperture radar
Radar 2009 a 18 synthetic aperture radarRadar 2009 a 18 synthetic aperture radar
Radar 2009 a 18 synthetic aperture radar
 
GeoStreamer PESA News 042009 Andrew Long
GeoStreamer PESA News 042009 Andrew LongGeoStreamer PESA News 042009 Andrew Long
GeoStreamer PESA News 042009 Andrew Long
 
4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt4-IGARSS_2011_v4.ppt
4-IGARSS_2011_v4.ppt
 

Destaque

OFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic Prefix
OFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic PrefixOFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic Prefix
OFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic Prefixjohn236zaq
 
MICS - Synthetic Aperture Imaging
MICS - Synthetic Aperture ImagingMICS - Synthetic Aperture Imaging
MICS - Synthetic Aperture Imagingmics_share
 
Image Processing on SAR images
Image Processing on SAR imagesImage Processing on SAR images
Image Processing on SAR imagespankaj kumar
 
Introduction to sar-marjolaine_rouault
Introduction to sar-marjolaine_rouaultIntroduction to sar-marjolaine_rouault
Introduction to sar-marjolaine_rouaultNaivedya Mishra
 
SAR image interpretation
SAR image interpretationSAR image interpretation
SAR image interpretationElise Colin
 
Synthetic aperture radar_advanced
Synthetic aperture radar_advancedSynthetic aperture radar_advanced
Synthetic aperture radar_advancedNaivedya Mishra
 

Destaque (7)

OFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic Prefix
OFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic PrefixOFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic Prefix
OFDM Synthetic Aperture Radar Imaging With Sufficient Cyclic Prefix
 
MICS - Synthetic Aperture Imaging
MICS - Synthetic Aperture ImagingMICS - Synthetic Aperture Imaging
MICS - Synthetic Aperture Imaging
 
Image Processing on SAR images
Image Processing on SAR imagesImage Processing on SAR images
Image Processing on SAR images
 
Introduction to sar-marjolaine_rouault
Introduction to sar-marjolaine_rouaultIntroduction to sar-marjolaine_rouault
Introduction to sar-marjolaine_rouault
 
SAR image interpretation
SAR image interpretationSAR image interpretation
SAR image interpretation
 
Synthetic aperture radar_advanced
Synthetic aperture radar_advancedSynthetic aperture radar_advanced
Synthetic aperture radar_advanced
 
radar-ppt
radar-pptradar-ppt
radar-ppt
 

Semelhante a 1-Wang-FR1020-IGARSS11.pptx

Cyclostationary analysis of polytime coded signals for lpi radars
Cyclostationary analysis of polytime coded signals for lpi radarsCyclostationary analysis of polytime coded signals for lpi radars
Cyclostationary analysis of polytime coded signals for lpi radarseSAT Journals
 
An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...
An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...
An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...Editor IJCATR
 
Removal of Clutter by Using Wavelet Transform For Wind Profiler
Removal of Clutter by Using Wavelet Transform For Wind ProfilerRemoval of Clutter by Using Wavelet Transform For Wind Profiler
Removal of Clutter by Using Wavelet Transform For Wind ProfilerIJMER
 
chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016CHANDRA SHEKHAR
 
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...Mimo radar detection in compound gaussian clutter using orthogonal discrete f...
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...ijma
 
Implementation of adaptive stft algorithm for lfm signals
Implementation of adaptive stft algorithm for lfm signalsImplementation of adaptive stft algorithm for lfm signals
Implementation of adaptive stft algorithm for lfm signalseSAT Journals
 
A New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler PrincipleA New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler PrincipleNooria Sukmaningtyas
 
Subsystems of radar and signal processing
Subsystems of radar and signal processing Subsystems of radar and signal processing
Subsystems of radar and signal processing Ronak Vyas
 
RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!nagatic941
 
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-II
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-IIDesign of Linear Array Transducer Using Ultrasound Simulation Program Field-II
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-IIinventy
 
LOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdfLOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdfFirstknightPhyo
 
Performance analysis of wavelet based blind detection and hop time estimation...
Performance analysis of wavelet based blind detection and hop time estimation...Performance analysis of wavelet based blind detection and hop time estimation...
Performance analysis of wavelet based blind detection and hop time estimation...Saira Shahid
 
Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...
Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...
Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...IJECEIAES
 
Masters' Thesis Defense Slides
Masters' Thesis Defense SlidesMasters' Thesis Defense Slides
Masters' Thesis Defense SlidesRam Subramanian
 
IR UWB TOA Estimation Techniques and Comparison
IR UWB TOA Estimation Techniques and ComparisonIR UWB TOA Estimation Techniques and Comparison
IR UWB TOA Estimation Techniques and Comparisoninventionjournals
 
FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...
FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...
FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...IDES Editor
 

Semelhante a 1-Wang-FR1020-IGARSS11.pptx (20)

Cyclostationary analysis of polytime coded signals for lpi radars
Cyclostationary analysis of polytime coded signals for lpi radarsCyclostationary analysis of polytime coded signals for lpi radars
Cyclostationary analysis of polytime coded signals for lpi radars
 
An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...
An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...
An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...
 
Removal of Clutter by Using Wavelet Transform For Wind Profiler
Removal of Clutter by Using Wavelet Transform For Wind ProfilerRemoval of Clutter by Using Wavelet Transform For Wind Profiler
Removal of Clutter by Using Wavelet Transform For Wind Profiler
 
chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016chandra shekhar_Unit 2 _Radar_ feb 4 2016
chandra shekhar_Unit 2 _Radar_ feb 4 2016
 
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...Mimo radar detection in compound gaussian clutter using orthogonal discrete f...
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...
 
Implementation of adaptive stft algorithm for lfm signals
Implementation of adaptive stft algorithm for lfm signalsImplementation of adaptive stft algorithm for lfm signals
Implementation of adaptive stft algorithm for lfm signals
 
Doppler radar
Doppler radarDoppler radar
Doppler radar
 
A New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler PrincipleA New Underwater Acoustic Navigation Method Based on the Doppler Principle
A New Underwater Acoustic Navigation Method Based on the Doppler Principle
 
Subsystems of radar and signal processing
Subsystems of radar and signal processing Subsystems of radar and signal processing
Subsystems of radar and signal processing
 
RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!RADAR MEASUREMENTS LECTURE EECS BERKELY!
RADAR MEASUREMENTS LECTURE EECS BERKELY!
 
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-II
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-IIDesign of Linear Array Transducer Using Ultrasound Simulation Program Field-II
Design of Linear Array Transducer Using Ultrasound Simulation Program Field-II
 
asil-14
asil-14asil-14
asil-14
 
LOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdfLOW,MEDIUM,HIGH_Doppler_MTI.pdf
LOW,MEDIUM,HIGH_Doppler_MTI.pdf
 
FT NMR
FT NMRFT NMR
FT NMR
 
Performance analysis of wavelet based blind detection and hop time estimation...
Performance analysis of wavelet based blind detection and hop time estimation...Performance analysis of wavelet based blind detection and hop time estimation...
Performance analysis of wavelet based blind detection and hop time estimation...
 
Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...
Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...
Packets Wavelets and Stockwell Transform Analysis of Femoral Doppler Ultrasou...
 
2412ijmnct02
2412ijmnct022412ijmnct02
2412ijmnct02
 
Masters' Thesis Defense Slides
Masters' Thesis Defense SlidesMasters' Thesis Defense Slides
Masters' Thesis Defense Slides
 
IR UWB TOA Estimation Techniques and Comparison
IR UWB TOA Estimation Techniques and ComparisonIR UWB TOA Estimation Techniques and Comparison
IR UWB TOA Estimation Techniques and Comparison
 
FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...
FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...
FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...
 

Mais de grssieee

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...grssieee
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELgrssieee
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...grssieee
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESgrssieee
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSgrssieee
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERgrssieee
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animationsgrssieee
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdfgrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
DLR open house
DLR open houseDLR open house
DLR open housegrssieee
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.pptgrssieee
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptgrssieee
 

Mais de grssieee (20)

Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
Tangent height accuracy of Superconducting Submillimeter-Wave Limb-Emission S...
 
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELSEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODEL
 
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...
 
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESTHE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIES
 
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUSGMES SPACE COMPONENT:PROGRAMMATIC STATUS
GMES SPACE COMPONENT:PROGRAMMATIC STATUS
 
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERPROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETER
 
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...
 
Test
TestTest
Test
 
test 34mb wo animations
test  34mb wo animationstest  34mb wo animations
test 34mb wo animations
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
Test 70MB
Test 70MBTest 70MB
Test 70MB
 
2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf2011_Fox_Tax_Worksheets.pdf
2011_Fox_Tax_Worksheets.pdf
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
DLR open house
DLR open houseDLR open house
DLR open house
 
Tana_IGARSS2011.ppt
Tana_IGARSS2011.pptTana_IGARSS2011.ppt
Tana_IGARSS2011.ppt
 
Solaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.pptSolaro_IGARSS_2011.ppt
Solaro_IGARSS_2011.ppt
 

Último

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Principled Technologies
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 

Último (20)

From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
Deploy with confidence: VMware Cloud Foundation 5.1 on next gen Dell PowerEdg...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

1-Wang-FR1020-IGARSS11.pptx

  • 1. Demonstration of Target Vibration Estimation in Synthetic Aperture Radar Imagery Qi Wang1,2, Matthew Pepin1,2, Ryan J. Beach2, Ralf Dunkel3, Tom Atwood2,4, Armin W. Doerry4, Balu Santhanam2, Walter Gerstle5, and Majeed M. Hayat1,2 1Center for High Technology Materials, University of New Mexico, Albuquerque, NM, 87131 USA 2Depart. of Electrical and Computer Science, University of New Mexico, Albuquerque, NM, 87131 USA 3General Atomics Aeronautics Systems, Inc., San Diego, CA 92064 USA 4Sandia National Laboratories, Albuquerque, NM 87185 USA 5Depart. of Civil Engineering, University of New Mexico, Albuquerque, NM, 87131 USA
  • 2. Content Motivation Signal model Algorithm development The discrete fractional Fourier transform Experimental results Performance analysis Conclusions
  • 3.
  • 4. The ability of remote sensing target vibrations is important:
  • 5. Avoids the cost of acquiring and installing accelerometers on remote structures
  • 6. Enables sensing vibrations of structures that not easily accessible
  • 7.
  • 8. Micro-Doppler effect RF pulse: X0 y (azimuth) Frequency (Hz) t (sec) Doppler frequency caused by both the plane’s motion and target vibration Doppler frequency caused by the plane’s motion
  • 9.
  • 11. c: speed of the microwave
  • 12. V: speed of the antenna
  • 13. y: azimuth position of the vibrating scatterer
  • 14. fprf: the pulse repetition frequency
  • 15. rd[n]: time-varying range of the vibrating scatterer
  • 16. φ: other (constant) phase terms
  • 17. NI: total number of pulses
  • 18.
  • 19. Concentrates a linear chirp into a few coefficients we obtain an impulse-like transform analogous to what the discrete Fourier transform produces for a sinusoid.Intersection for α = π/2 The DFRFT of a complex-valued signal containing two component: a pure 150 Hz sinusoid and a chirp with a center frequency of 200 Hz and chirp rate of 400 Hz/s.
  • 20. The DFRFT (cont’d) Let W denote the transformation matrix of the centered-DFT, the fractional power of W is defined as The DFRFT of a signal x[n] is the DFT of an intermediate signal for each index k (k = 0,1, …,N-1), that is where r = 0,1,…,N-1 is the newly introduced angular index and α=2πr/N. The intermediate signal is calculated by where vpis the pth column vector of VG. J. G. Vargas-Rubio and B. Santhanam, “On the multiangle centered discrete fractional Fourier transform,” IEEE signal Processing Letters, vol. 12, pp. 273-276, 2005
  • 21.
  • 22.
  • 23.
  • 24. The vibration is caused by the rotation of an unbalanced mass.
  • 25. Vibration magnitude: 1.5 mm; vibration frequency: 5 HzSAR image of the test ground near Julian, CA. It was generated by the Lynx system on 2010.
  • 26. Experiment: the DFRFT spectra The changing of position of the peak in the DFRFT plain indicates a time-varying vibration acceleration of the target. Angle (rad) Frequency (Hz)
  • 27. Estimation results Estimated vibration acceleration (x: time (s); y: acceleration ( m/s2) Estimated DFT spectrum of the vibration (x: frequency (Hz); y: magnitude (AU) Actual vibration frequency: 5 Hz
  • 28. Performance analysis The vibration frequency resolution is limited by the SAR observation time of the target For the Lynx system, it ranges from 0.3 Hz to 1.0 Hz depending on the data collection geometry and the radar cross section of the target. The maximum measurable vibration frequency is upper-bounded by fprf/2 theoretically In practice, vibration frequencies up to 25 Hz can be easily estimated when fprf = 1000 Hz;
  • 29. Conclusions A DFRFT-based method is proposed for SAR vibration estimation In the experiment, the proposed method successfully estimated a 1.5 mm, 5-Hz vibration from a corner reflector Performance analysis of the proposed method is carried out in terms of vibration frequency resolution and maximum measurable vibration frequency
  • 30. Acknowledgement This work was supported by the United States Department of Energy (Award No. DE-FG52-08NA28782), the National Science Foundation (Award No. IIS-0813747), National Consortium for MASINT Research, and Sandia National Laboratories. The authors also thank GA-ASI for making the Lynx system available to this project.