The paper titled “Performance Analysis on Synthetic Aperture Radar-based Vibration Estimation in Clutter” by Wang, Santhanam, Pepin, and Hayat was accepted for the 46th Asilomar Conference on Signals, Systems and Computers, Asilomar Conference Grounds, Pacific Grove, California, November 4-7, 2012.
Journal Paper Accepted
The paper titled “SAR-based Vibration Estimation using the Discrete Fractional Fourier Transform” was accepted for publication in IEEE Transaction on Geoscience and Remote Sensing.
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Paper Invited to Conference
The paper titled “Reduction of vibration-induced artifacts in Synthetic Aperture Radar imagery using the fractional Fourier transform,” by Wang, Pepin, Dunkel, Atwood, Doerry, Santhanam, Gerstle and Hayat, was accepted in the International Conference on Image Processing, ICIP’12.
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New Website
This new website has been online since October 1st, 2012.
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Welcome!
The Radar Vibrometry Group focuses its research work on extracting vibration signals from simulated and actual Synthetic Aperture Radar (SAR) images. The Radar Vibrometry Group has developed several Fractional-Fourier Transform based algorithms to isolate the non-stationary vibration signal from a vibrating object observed during a SAR data collection, determine the objects vibration spectrum and recover SAR image data obscured by vibration artifacts in the image. The Radar Vibrometry Group has constructed several vibrating objects which were imaged in collaboration with Lynx radar manufacturer General Atomics Aeronautical.
Main Sponsors
Department of Energy (NNSA),
National Nuclear Security Administration:
“Algorithms and Methodologies for Detecting Vibrations using Synthetic
Aperture Radar: A Fractional-Fourier Transform Approach,”
PIs: Profs. Majeed
M. Hayat;
Co-PIs:
Balu
Santhanam
and Jamesina
Simpson, $845,000; Sep. 2008 – Sep. 2013.
Defense
Intelligence Agency, National Consortium for Measures and
Signatures Intelligence: MASINT University Research Program,
“Co-registered Vibrometry and Imaging: A Combined Synthetic-Aperture
Radar and Fractional-Fourier Transform Approach,”
PIs: Profs. Majeed
M. Hayat, Balu
Santhanam
and Tom
Atwood, funding $393,000, Oct. 1, 2011 – Sep. 30, 2013.
Defense
Intelligence Agency, National Consortium for Measures and
Signatures Intelligence: MASINT University Research Program,
“Co-registered Vibrometry and Imaging: A Combined Synthetic Aperture
Radar and Fractional-Fourier Transform Approach,”
PIs: Profs. Majeed
M. Hayat, Balu
Santhanam
and Walter
Gerstle, funding $476,000, Jun. 1, 2008 – Aug. 30, 2011.
Other Sponsor
Sandia
National Laboratories, “Novel signal processing strategies
for remote detection of vibrational signals,”
PI: Prof. Majeed
M. Hayat, funding $125,000; May 2007 – May 2009.
Sandia
National
Laboratories, “Image processing strategies for
long-wavelength synthetic aperture radar,”
PI: Prof. Majeed
M. Hayat, funding $35,000; Jul. 2006 – Aug. 2007.
Special Thanks to Tom Atwood and Armin Doerry of Sandia National Laboratories for helping guide this research effort.
The success of this work owes much to General Atomics Aeronautical Systems, Inc. who has made the Lynx system available for testing the methods developed in this project
This material/page is based upon work supported by the National Science Foundation under ITR Grants No. IIS-0813747
“Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.”
Latest update: October 1st, 2012.
This entry was posted on Tuesday, November 8th, 2011 at 2:30 pm and is filed under Uncategorized. You can follow any responses to this entry through the RSS 2.0 feed. Both comments and pings are currently closed.
Comments are closed.
Sponsors
Funding
Department of Energy (NNSA), National Nuclear Security Administration: “Algorithms and Methodologies for Detecting Vibrations using Synthetic Aperture Radar: A Fractional-Fourier Transform Approach,”
PIs: Profs. Majeed M. Hayat; Co-PIs: Balu Santhanam, Walter Gerstle, and Jamesina Simpson, $845,000; Sep. 2008 – Sep. 2012.
Defense Intelligence Agency, National Consortium for Measures and Signatures Intelligence: MASINT University Research Program, “Co-registered Vibrometry and Imaging: A Combined Synthetic-Aperture Radar and Fractional-Fourier Transform Approach,”
PIs: Profs. Majeed M. Hayat, Balu Santhanam, Walter Gerstle and Tom Atwood, funding $393,000, Oct. 1, 2011 – Sep. 30, 2013.
Defense Intelligence Agency, National Consortium for Measures and Signatures Intelligence: MASINT University Research Program, “Co-registered Vibrometry and Imaging: A Combined Synthetic Aperture Radar and Fractional-Fourier Transform Approach,”
PIs: Profs. Majeed M. Hayat, Balu Santhanam and Walter Gerstle, funding $476,000, Jun. 1, 2008 – Aug. 30, 2011.
Sandia National Laboratories, “Novel signal processing strategies for remote detection of vibrational signals,”
PI: Prof. Majeed M. Hayat, funding $125,000; May 2007 – May 2009.
Sandia National Laboratories, “Image processing strategies for long-wavelength synthetic aperture radar,”
PI: Prof. Majeed M. Hayat, funding $35,000; Jul. 2006 – Aug. 2007.
National Science Foundation, ITR Grants No. IIS-0813747.
Theses
Ph.D. theses
Author: Wang, Qi.
Title:
“Time-Frequency Methods in Vibration Estimation using Synthetic
Aperture Radar (SAR) Data.”
Electrical and Computing Engineer Department.
University of New Mexico.
August 2012.
Masters theses
Author: Madrid, Monica.
Title:
“FTDT-based modeling of electromagnetic wave interactions with
vibrating structures.”
Electrical and Computing Engineer Department.
University of New Mexico.
May 2010.
Author: Tong Xia.
Title:
“Effect of Air on Vibration of Structures.”
Civil Engineer Department.
University of New Mexico.
May 2010.
Book Chapters
Conference Papers
Q. Wang, B. Santhanam, M. Pepin, and M. M. Hayat
“Performance Analysis on Synthetic Aperture Radar-based Vibration
Estimation in Clutter.”
Accepted Proceedings of 46th Asilomar Conference on Signals, Systems,
and Computers, Asilomar, CA, Nov 4-7, 2012.
Abstract.
Q. Wang, M. Pepin, R. Dunkel, T. Atwood, A.W.
Doerry, B. Santhanam, W. Gerstle, and M. M. Hayat
“Reduction of Vibration-Induced Artifacts in Synthetic Aperture Radar
Imagery using the Fractional Fourier Transform.”
Accepted IEEE International Conference on Image Processing, Orlando, FL
2012.
Abstract.
Q. Wang, B. Santhanam, M. Pepin, T. Atwood, and
M. M. Hayat.
“Refocusing vibrating targets in SAR images.”
In Proc. of SPIE Defense, Security and Sensing Symposium, Baltimore,
MD, April 2012.
Abstract.
M. Pepin and M. M. Hayat.
“Separation
of vibrating and static SAR object signatures via an Orthogonal
Subspace Transformation.”
In Proc. of SPIE Defense, Security and Sensing Symposium, Baltimore,
MD, April 2012.
Abstract.
D. J. Peacock and B. Santhanam.
“Multi-component subspace chirp parameter estimation using discrete
fractional Fourier analysis.”
In Proc. International Association of Science and Technology
Development (IASTED) Signal and Image processing Conference (SIP 2011),
Dec 2011.
Abstract.
Q. Wang, M. Pepin, R. Beach, R. Dunkel, T.
Atwood, A. Doerry, B. Santhanam, W. Gerstle, and M. M. Hayat.
“Demonstration
of Target Vibration Estimation in Synthetic Aperture Radar Imagery.”
In. Proc. of the 2011 IEEE International Geoscience and Remote Sensing
Symposium (IGARSS 2011), July 24-29, 2011, Vancouver, Canada.
Abstract.
Q. Wang, B. Santhanam, M. Pepin, T. Atwood, and
M. M. Hayat.
“SAR vibrometry using a pseudo-subspace approach based on the discrete
fractional Fourier transform.”
In. SPIE Defense, Security and Sensing Symposium, Orlando, FL, April
2011.
Abstract.
M. Pepin and M. M. Hayat.
“Fast Synthetic Aperture Radar Imaging with a Streamlined 2-D
Fractional
Fourier Transform.”
In Proc. the SPIE Defense, Security and Sensing Symposium, Orlando, FL,
April 2011.
Abstract.
B. Santhanam and M. M. Hayat.
“On a pseudo-subspace framework for discrete fractional Fourier
transform based chirp parameter estimation.”
In Proc. 14th IEEE Signal Processing Society DSP Workshop, Sedona, AZ,
Jan 2011.
Abstract.
Q. Wang, M. Pepin, B. Santhanam, T. Atwood and
M. M. Hayat.
“SAR-Based Vibration Retrieval Using the Fractional Fourier Transform
in
Slow-time.”
SPIE Defense & Security Symposium, Orlando, FL, April 2010,
SPIE Proc. vol. 7669, 2010.
Abstract.
M. Pepin and M. M. Hayat.
“Estimation of the Vibration Spectra and Vibrating Direction with
Synthetic
Aperture Radars.”
SPIE Defense, Sensing, and Security Symposium, Orlando, FL, April 2010,
SPIE Proc. vol. 7699, 2010.
Abstract.
B. Santhanam
“On a Sturm-Liouville Framework for Continuous and Discrete Frequency
Modulation.”
Proc. of ACSSC 2009, Invited paper, pp. 1747-1751, Pacific Grove, CA,
Nov. 2009.
Abstract.
M. Madrid, J. J. Simpson, B. Santhanam, W.
Gerstle, T. Atwood, and M. M. Hayat.
“Modeling
electromagnetic wave interactions with vibrating structures.”
IEEE AP-S Int. Symp. and USNC/URSI National Radio Science Meeting,
Charleston, SC, June 2009.
Abstract.
M. Madrid, J. J. Simpson, and M. M. Hayat.
“Modeling
electromagnetic wave interactions with vibrating structures.”
Women in Electromagnetics (WiEM) Workshop, Salt Lake City, UT, June
2009.
Abstract.
Q. Wang, M. M. Hayat, B. Santhanam, and T.
Atwood.
“SAR Vibrometry using fractional-Fourier-transform processing.”
SPIE
Defense & Security Symposium: Radar Sensor Technology XIII
(Conference DS304), Orlando, FL, April 2009, SPIE Proceedings.
Abstract.
B. Santhanam, S. L. Reddy, and M. M. Hayat.
“Co-channel
FM Demodulation Via the Multi Angle-Centered Discrete Fractional
Fourier Transform.”
2009 IEEE Digital Signal Processing Workshop,” Marcos Islands, Jan.
2009, FL, 2009.
Abstract.
Journal Papers
Qi Wang, M. Pepin, B. Santhanam, T. Atwood, A.
W. Doerry, and
M. M. Hayat
“Remote
Vibration Estimation using Dual-beam Synthetic Aperture
Radar.”
Submitted to IEEE Transactions
on Geoscience and Remote Sensing.
Abstract.
Qi Wang, M. Pepin, A. Wright, R. Dunkel, T.
Atwood, B. Santhanam, W. Gerstle, A. W. Doerry, and M. M. Hayat
“Reduction of
Vibration-induced Artifacts in Synthetic Aperture Radar Imagery.”
Submitted to IEEE Transactions
on Geoscience and Remote Sensing.
Abstract.
B. Santhanam
“Orthogonal
Modes
of Frequency Modulation and the Sturm-Liouville Frequency Modulation
Model.”
IEEE Transactions on Signal
Processing, Vol. 60, No. 7, pp. 3486-3495, July 2012.
Abstract.
Qi Wang, M. Pepin, R. Beach, R. Dunkel, T.
Atwood, B. Santhanam, W. Gerstle, A. W. Doerry, and M. M.
Hayat
“SAR-based Vibration Estimation using the Discrete Fractional Fourier
Transform”
Accepted in IEEE Transactions on
Geoscience and Remote Sensing Vol. 50, No. 10, Oct. 2012.
Abstract.
M. Madrid, J. J. Simpson, and M. Hayat.
“FDTD
calculations of the diffraction coefficient of vibrating wedges.”
IEEE Antennas & Wireless Propagation Letters, Vol. 10, p. 163, 2011.
Abstract.
B. Santhanam, and T.S. Santhanam
“On Discrerte Gauss--Hermite Functions and Eigenvectors of the Discrete
Fourier Transform.”
Signal Processing, Elsevier Science, Vol. 88, No. 6, pp. 2738-2746,
Nov. 2008.
Abstract.
People
Faculty
Dr. Majeed M. Hayat
Professor.
Electrical and Computer Engineering Dept.
Associate Director, Center
for High Technology Materials
General Chair, Optical Science and
Engineering Program
University of New
Mexico.
Office: 1313 Goddard Street SE, Rm 139, Phone: (505) 272-7095
e-mail: hayat@chtm.unm.edu
Dr. Hayat received his Bachelor of Science (summa cum
laude) in Electrical Engineering from the University of the Pacific,
Stockton, CA, in 1985. He received the M.S. and the Ph.D. degrees in
Electrical and Computer Engineering from the University of
Wisconsin-Madison in 1988 and 1992, respectively. He is currently a
Professor of Electrical and Computer Engineering, Associate Director of
the Center for High Technology Materials, and General Chair of the
Optical Science and Engineering Program at the University of New
Mexico. Dr. Hayat's research activities cover a broad range of topics
including avalanche photodiodes, signal and image processing,
algorithms for infrared spectral sensing and imaging, radar signal
processing, optical communication, and modeling and optimization of
distributed systems and networks. Dr. Hayat was Associate Editor of
Optics Express from 2004 to 2009 and he is currently the Chair of the
topical committee of Photodetctors, Sensors, Systems and Imaging within
the IEEE Photonics Society. He is recipient of the National Science
Foundation Early Faculty Career Award (1998) and the Chief Scientist
Award for Excellence (2006) by the National Consortium for MASINT
Research and the Defense Intelligence Agency. Dr. Hayat has authored or
co-authored over 75 peer-reviewed articles (H-Index of 26) and has
seven issued patents, three of which have been licensed. Dr. Hayat is a
Fellow of SPIE, senior member of IEEE and member of OSA.
Dr. Balu Santhanam
Associate Professor.
Electrical and Computer Engineering
Dept. University of New
Mexico.
Office: UNM ECE Bldg 326A. Phone: (505)
277-1611
e-mail: bsanthan@eece.unm.edu
Dr. Santhanam received his B.S. in Electrical
Engineering from Saint Louis University, Saint Louis, MO, in 1992 and
the M.S. and Ph.D. degrees in Electrical Engineering from the Georgia
Institute of Technology , Atlanta, GA, in 1994 and 1998 respectively.
He completed a year as a lecturer and post-doctoral researcher in the
department of E.C.E. at the University of California Davis, from 1998
to 1999. In 1999, he joined the department of E.C.E at the University
of New Mexico,
Albuquerque, where he is currently an associate professor of Electrical
Engineering. His current research interests include discrete Fractional
Fourier analysis and applications, multicomponent AMFM models and
demodulation, signal representations for modulated signals, hybrid
ICA-SVM systems and their application to pattern recognition problems.
Dr. Santhanam served as the technical area chair for adaptive systems
for the Asilomar Conference on Signals, Systems, and Computers, 2004.
He served on the international program committee for the IEEE
international conference on Systems, Man, and Cybernetics in 2005 and
2006. Dr. Santhanam is the recipient of the 2000 and 2005 of the
ECE-UNM, distinguished teacher award. He is currently the chair of the
Albuquerque chapter of the IEEE signal processing and communication
societies.
Dr.
Walter Gerstle
Professor.
Civil Engineering
Dept. University of New Mexico.
Office: , Phone: (505) 277-3458
e-mail: gerstle@unm.edu
Dr. Gerstle is a professor of Civil Engineering at the
University of New Mexico, where he has been
since 1986. His Ph.D. is in Structural Engineering from Cornell
University. Gerstle’s research interests are in computational
structural engineering and in computational mechanics. Recently, he has
been working on the structural design of optical and radio telescopes
and research in structural acoustics with groups from the Departments
of Electrical and Computer Engineering and the Dept. of Physics and
Astronomy at UNM.
Dr.
Tom Atwood
Research Assistant Professor.
Sandia National Laboratory
Phone: (505) 401-4373
e-mail: tdatwoo@sandia.gov
Dr. Atwood has 20+ years experience in designing,
building and fielding systems, space, airborne and terrestrial, for
Radar, Communications and Signals Intelligence. Current research areas
include: Software Reprogrammable Payloads and Cognitive Radio/Radar.
Dr.
Armin Doerry
Sandia National Laboratory
Dr. Doerry is a Distinguished Member of Technical Staff
in the Surveillance & Reconnaissance
Department of Sandia National Laboratories. He holds a Ph.D. in
Electrical Engineering from the University
of New Mexico. He has worked in numerous aspects of SAR and other radar
systems analysis,
design, and fabrication since 1987, and continues to do so today.
Ralf Dunkel
General Atomics Aeronautical Systems
Ralf Dunkel serves as Director of System Reconnaissance
Systems Group of General Atomics Aeronautical
Systems, Inc. He is originally from Germany where he received his B.S.,
M.S., and Ph.D. degrees
from Martin-Luther-University in Halle. His primary area of focus is
airborne sensor testing and data
analysis.
Dr.
Matthew Pepin
Post Doc.
Electrical and Computer Engineering
Dept. University of New Mexico.
Phone: (505) 277-8446
e-mail: pepinm@ece.unm.edu
Dr. Pepin graduated with distinction from the University
of Virginia in 1981 with a B.S. degree in electrical engineering and
received an M.E. degree from the
University of Virginia in 1982.
He received the Ph.D. degree from the Air Force Institute of Technology
in 1996 and is currently a Post Doc in the electrical and computer
engineering department of the
University of New Mexico. Dr Pepin’s research interests include
sensors, spectral estimation, array
processing and imaging algorithms.
Dr. Jamesina Simpson , Electrical and Computer Engineering Dept, The University of Utah, UT.
Students:
Current students
Monica Jaramillo
Doctoral Candidate in Electrical Engineering.
NSF
Graduate Research
Fellow
Masters in Electrical Engineering.
email: monima@unm.edu
University of New Mexico.
Amir Raeisi Nafchi
Doctoral Candidate in Electrical Engineering.
Masters in Electrical Engineering.
email: amirorn@hotmail.com
University of New Mexico.
Oktay Agcaoglu
Masters Candidate in Electrical Engineering.
University of New Mexico.
Former Students
Qi Wang
Ph.D in Electrical Engineering, 2012.
email: qwang@ece.unm.edu
University of New Mexico.
Masters Candidate in Civil Engineering.
University of New Mexico.
Daniel Jackson Peacock
Masters in Electrical Engineering, 2012.
University of New Mexico.
Hong Ting Zhang
Masters in Electrical Engineering, 2011.
University of New Mexico.
Angela Montoya
Masters in Civil Engineering, 2010.
University of New Mexico.
Tong Xia
Masters in Civil Engineering, 2010.
University of New Mexico.
Ryan Beach
Bachelors in Mechanical Engineering, 2010.
University of New Mexico.
Overview
The Radar Vibrometry Group
focuses its research work on extracting vibration signals from
simulated and actual Synthetic Aperture Radar (SAR) images.
The Radar Vibrometry Group
has developed several Fractional-Fourier Transform based
algorithms to isolate the non-stationary vibration signal from
a vibrating object observed during a SAR data collection, determine the
objects vibration spectrum and recover SAR image data obscured by
vibration artifacts in the image. The project is supported by Sandia
National Laboratories (SNL) a leader in Synthetic Aperture
Radar and has undergone productive field testing where the Radar
Vibrometry Group has
constructed several vibrating objects which were imaged in
collaboration with Lynx radar manufacturer
General Atomics Aeronautical.
Main challenges that we tackle:
- Creating the vibration signature of a object either in a simulation of a Synthetic Aperture Radar (SAR) data collection or in an actual SAR image using a vibrating radar reflector
- Transforming radar returns into a time-varying vibration signature of any vibrating object present including vibrations deflection, velocity and acceleration.
- Separating vibration signals in radar returns from background returns or clutter.
- Removing vibration artifacts in SAR image to reveal full static radar return.
During our work, we have developed:
- A high performing SAR vibrometry FRFT-based algorithm including an algorithm that has better performance than state-of-the-art techniques in the case of multiple frequency vibrations. This algorithm is capable of estimating vibrations with small amplitudes (several millimeters) for frequencies from 0.3 Hz to 25 Hz.
- This algorithm successfully estimated two different target vibrations (3 cm, 1 Hz and 3 mm, 5 Hz) from actual SAR data collected with the GA Lynx radar
- - A subspace framework to separate signal and noise was incorporated into the FRFT-based algorithm to enhance performance when the SNR is low.
- - A de-ghosting method was developed to reduce the vibration-induced artifacts in SAR images using the estimation results of the FRFT-based algorithm.
- Several different types of vibration targets (moving, precessing , and swaying corner reflectors, a tophat and a chimney) for experiment data collection.
In our work we have developed and/or we plan on work on the following issues:
- Estimate the surface vibrations of the Space Station. This will be accomplished with either simulated or actual data. Then the the FRFT vibration algorithm will be applied to the phase history from the Space Station and determine the surface vibration history of the Space Station as a function of time. For comparison the ground-truth data of the surface vibration characteristics of the Space Station (NASA) will the obtained. The estimated vibration characteristics obtained by the FRFT-based algorithm will be compared to those obtained by the ground-truth data.
- Complete the noise-and-clutter suppression performance of the subspace approach using both simulated and experimental data. The subspace approach will be applied to simulated SAR data corrupted by additive Gaussian noise and background clutter. Then, the subspace approach will be tested on actual data collected by our collaborators at GA-ASI using the Lynx system. Which will allow us to provide recommendation on the feasibility of the FRFT algorithm in conjunction with the subspace approach for noise-and-clutter suppression.
- Studying the applicability of the FRFT-based vibration estimation algorithm to data from different SAR modes including the tasks of modeling the performance of the vibrometry algorithm applied to data from Forward-Looking GMTI (ground moving target indicator); modeling the performance of the vibrometry algorithm applied to data from CCD (coherent change detection) system; coordinating with GA-ASI to perform experiments on detecting vibrations using the GMTI and CCD data; and assess ing the performance of the vibrometry algorithm applied to the GMTI and CCD data. This includes assessing the capability of GMTI and CCD in suppressing noise and clutter that corrupt the vibration signal.
- Developing an extension of the FRFT-based vibrometry
algorithm to
suit dual-beam data including: Simulating the dual-beam SAR; Developing
post-processing strategy to extract vibration signals from dual-beam
data; Emulating the dual-bream radar scenario in the SAR-Vibrometry
Laboratory at UNM and testing the extended algorithm using data from
GA-ASI, SAR-Vibrometry Laboratory at UNM, as well as with simulated
data.
- Investigate enhancing the noise performance of the FRFT-based algorithm using signal process techniques.
The current research extends and complements the work developed under previous DIA, NCMR (National Consortium for Measures and Signatures Intelligence Research) and NSF-funded projects on radar vibrometry and non-stationary signal estimation with the Fractional Fourier Transform (FRFT).
Welcome!
The Radar Vibrometry Group focuses its research work on extracting vibration signals from simulated and actual Synthetic Aperture Radar (SAR) images. The Radar Vibrometry Group has developed several Fractional-Fourier Transform based algorithms as well as other statistical signal processing methods to isolate the non-stationary vibration signals of vibrating objects observed during a SAR data collection (single, as well as dual-beam radar), determine the objects vibration spectrum and recover SAR image data obscured by vibration artifacts in the image. While the main thrust of the project is signal processing for radar, the project also involves supporting research in electromagnetic modeling of reflectors as well as structural modeling of vibrating objects. The projects in this group are supported by Sandia National Laboratories (SNL), a leader in Synthetic Aperture Radar, and have undergone productive field testing where the Radar Vibrometry Group has constructed several vibrating objects that were imaged in collaboration with Lynx radar manufacturer General Atomics Aeronautical. In addition, the group is currently considering the development of a novel pattern-recognition paradigm based upon a three-dimensional representation of the scene, comprising the two-dimensional SAR image and the instantaneous-frequency history of each pixel.
Main Sponsors
Department of Energy (NNSA),
National Nuclear Security Administration:
“Algorithms and
Methodologies for Detecting Vibrations using Synthetic
Aperture Radar: A Fractional-Fourier Transform Approach,”
Defense
Intelligence Agency, National Consortium for Measures and
Signatures Intelligence: MASINT University Research Program,
“Co-registered
Vibrometry and Imaging: A Combined Synthetic-Aperture Radar and
Fractional-Fourier Transform Approach,”
National Consortium for Measures and Signatures Intelligence: MASINT University Research Program, “Co-registered Vibrometry and Imaging: A Combined Synthetic Aperture Radar and Fractional-Fourier Transform Approach,” Award administered by the National Science Foundation
Additional Sponsors
Sandia
National Laboratories, “Novel
signal processing strategies
for remote detection of vibrational signals,”
Sandia
National
Laboratories, “Image
processing strategies for
long-wavelength synthetic aperture radar,”
Special Thanks to Tom Atwood and Armin Doerry of Sandia National Laboratories for helping guide this research effort.
The success of this work owes much to General Atomics Aeronautical Systems, Inc. who has made the Lynx system available for testing the methods developed in this project
This material/page is based upon work supported by the National Science Foundation under IIS Grants No. IIS-0813747
“Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.”
Latest update: October 1st, 2012.
Posted in Uncategorized | Comments Off
Paper Accepted in Conference
July 17th, 2012The paper titled “Performance Analysis on Synthetic Aperture Radar-based Vibration Estimation in Clutter” by Wang, Santhanam, Pepin, and Hayat was accepted for the 46th Asilomar Conference on Signals, Systems and Computers, Asilomar Conference Grounds, Pacific Grove, California, November 4-7, 2012.
Posted in Uncategorized | Comments Off
Paper Invited to Conference
April 17th, 2012The paper titled “Reduction of vibration-induced artifacts in Synthetic Aperture Radar imagery using the fractional Fourier transform,” by Wang, Pepin, Dunkel, Atwood, Doerry, Santhanam, Gerstle and Hayat, was accepted in the International Conference on Image Processing, ICIP’12.
Posted in Uncategorized | Comments Off
Journal Paper Accepted
January 29th, 2012The paper titled “SAR-based Vibration Estimation using the Discrete Fractional Fourier Transform” was accepted for publication in IEEE Transaction on Geoscience and Remote Sensing.
Posted in Uncategorized | Comments Off
New Website
October 1st, 2012This new website has been online since October 1st, 2012.
Posted in Uncategorized | Comments Off