Passive/Active Radar: Publications
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Papers from the DARPA Project
Target Tracking
- NEW! S.M. Herman,
A Particle Filtering Approach to Joint Passive Radar Tracking and
Target Classification, PhD thesis, Univ. of Illinois at Urbana-Champaign,
2002. Added 12/6/02.
(1-sided PDF,
2-sided PDF)
- S.C. Herman and P. Moulin, A Particle Filtering Approach to Joint
Radar Tracking and Automatic Target Recognition, Proc. IEEE Aerospace
Conference, Big Sky, Montana, March 10-15, 2002. Added 5/10/02.
(pdf)
- A.D. Lanterman, Tracking and recognition of airborne targets via
commercial television and FM radio signals, in
Acquisition, Tracking, and
Pointing XIII, Proc. SPIE 3692, Orlando, FL, April 1999. Added
5/30/99.
(gzipped postscript)
Radar Imaging from Passive Radar Data
- A.D. Lanterman and D.C. Munson, Jr.,
Deconvolution Techniques for Passive Radar Imaging,
in Algorithms for Synthetic Aperture Radar Imagery IX,
Proc. SPIE 4727, Ed: E.G. Zelnio,
Orlando, FL, April 2002. Added 5/17/02.
(pdf)
- Y. Wu, D.C. Munson, Jr., and A.D. Lanterman, Multistatic Passive
Radar Imaging of Aircraft: A Feasibility Study Using FISC,
Proc. URSI National Radio Science Meeting, Boulder, CO,
Jan. 9-12, 2002.
- Y. Wu and D.C. Munson, Jr.,
Multistatic Synthetic Aperture Imaging of Aircraft using Reflected
Television Signals,
in Algorithms for Synthetic Aperture Radar Imagery VIII,
Proc. SPIE 4382, Ed: E.G. Zelnio,
Orlando, FL, April 2001. Added 4/26/01.
(pdf)
- Y. Wu and D.C. Munson, Jr.,
Multistatic Passive Radar Imaging Using the Smoothed Pseudo Wigner-Ville
Distribution,
Proc. of the IEEE International Conference on Image Processing,
Thesaloniki, Greece, Oct. 2001. Added
8/3/01.
(pdf).
- Y. Wu and D.C. Munson, Jr.,
Wide-Angle L band ISAR Passive Imaging Using the Wigner-Ville
Distribution, Proc. IEEE Radar Conference, Atlanta, GA,
May 1-3, 2001. Updated 5/16/02.
(pdf).
Autofocus Algorithms
-
NEW!
R.L. Morrison, Entropy-Based Autofocus for Synthetic Aperture Radar,
Master’s Thesis, Univ. of Illinois, 2002.
(pdf) Added 12/6/02.
- R.L. Morrison, Jr. and D.C. Munson, Jr., An Experimental Study of
a New Entropy-Based SAR Autofocus Technique, Proc. of the IEEE
International Conference on Image Processing, Rochester, NY
to be held Sept. 22-25, 2002. Added 5/10/02.
(pdf)
Reconstruction from Sparse Fourier Samples
- N. Schmid, Y. Bresler, and P. Moulin, Complexity Regularized
Shape Estimation from Noisy Fourier Data, Proc. of the IEEE
International Conference on Image Processing, Rochester, NY,
Sept. 22-25, 2002. Added 5/16/02.
(pdf)
- R. Venkataramani and Y. Bresler, Necessary Conditions for MIMO
Sampling of Multiband Inputs, in Proc. International Symposium
on Information Theory, Lausanne, Switzerland, June 2002. Added
5/16/02.
(pdf)
- R. Venkataramani and Y. Bresler, Filter Design for MIMO Sampling and
Reconstruction, submitted to IEEE Trans. on Signal Processing,
Jan. 2002. Added 5/16/02.
(pdf)
- R. Venkataramani and Y. Bresler, MIMO Sampling: Necessary Density
Conditions, submitted to IEEE Trans. on Information Theory,
Dec. 2001. Added 5/16/02.
(pdf)
- R. Venkataramani and Y. Bresler, Sampling Theorems for Uniform
and Periodic Nonuniform MIMO Sampling of Multiband Signals,
submitted to IEEE Trans. on Signal Processing,
Dec. 2001. Added 5/16/02.
(pdf)
- R. Venkataramani and Y. Bresler, Perfect Reconstuction
Formulas and Bounds on the Aliasing Error in Sub-Nyquist Sampling of
Multiband Signals, IEEE Trans. on Information Theory,
46(6):2173-2183,
Sept. 2000. Updated 8/5/01 (pdf).
- R. Venkataramani and Y. Bresler,
Optimal Sub-Nyquist Sampling and Reconstruction for
Multiband Signals, IEEE Trans. on Signal Processing, Vol. 49,
No. 10, Oct. 2001, pp. 2301-2313.
(pdf).
- J.C. Ye, Y. Bresler,
and P. Moulin, A Self-Referencing Level-Set Method
for Image Reconstruction from Sparse Fourier Samples, IEEE Workshop
on Variational and Level Set Methods in Computer Vision, Vancouver,
CA, July 2001. Added 8/5/01.
(pdf)
- J.C. Ye,
Y. Bresler, and P. Moulin, A Self-Referencing Level-Set Method
for Image Reconstruction from Sparse Fourier Samples,
Proc. of the IEEE International Conference on Image Processing,
Thesaloniki, Greece, Oct. 2001, to appear. Added 8/5/01.
Performance Analysis and Radar System Optimization
- S. Xiao and D. Munson,
Optimal Antenna Spacings in Interferometric SAR,
in Algorithms for Synthetic Aperture Radar Imagery VII,
Proc. SPIE 4053, Ed: E.G. Zelnio,
Orlando, FL, April 2000, to appear. Added 8/31/00.
(pdf)
- J.C. Ye, Y. Bresler, and P. Moulin, Cramer-Rao Bounds for Parametric
Shape Estimation in Inverse Problems, IEEE Trans. on Information
Processing, to appear. Added 5/16/01.
(pdf)
- J.C. Ye, Y. Bresler, and P. Moulin, Cramer-Rao Bounds for Parametric
Shape Estimation in Inverse Problems, Proc. IEEE International
Conference on Image Processing, Rochester, NY, Sept. 22-25, 2002.
- J.C. Ye, Y. Bresler, and P. Moulin,
Global Confidence Regions for Parametric Surface Estimation,
invited paper, submitted to International Journal of Computer Vision,
April 2001.
Added 4/26/01.
(abstract)
(gzipped
pdf)
- J.C. Ye, Y. Bresler, and P. Moulin,
Asymptotic Global Confidence Regions
in Parametric Shape Estimation Problems,
IEEE Trans. on Information
Theory, Vol. 46, No. 5, August 2000, pp. 1881-1895. Updated 8/5/01.
(pdf)
- J.C. Ye, Y. Bresler, and P. Moulin,
Cramer-Rao Bounds for 2-D Target Shape Estimation in Nonlinear
Inverse Scattering Problems with
Application to Passive Radar,
IEEE Trans. on
Antennas and Propagation, Vol. 49, No. 5,
May 2001, pp. 771-783. Updated 8/5/01.
(pdf)
- J.C.Ye, Y. Bresler, and P. Moulin,
Global Confidence Regions in Parametric Shape
Estimation, IEEE
International Conference on Acoustics, Speech, and
Signal Processing, 2000, Turkey.
(postscript)
- J.C. Ye, Y. Bresler and P. Moulin, Fourier
Descriptors for Parametric Shape
Estimation in Nonlinear Inverse Scattering Problems,
in Signal Processing, Sensor Fusion, and Target Recognition IX,
Proc. SPIE 4052, Ed: I. Kadar,
Orlando, FL, April 2000, pp. 309-320.
(postscript)
Inverse Scattering
- M. Brandfass, A.D. Lanterman, and K.F. Warnick,
A Comparison of the Colton-Kirsch Inverse Scattering Methods with
Linearized Tomographic Inverse Scattering,
Inverse Problems, Vol. 17, No. 6, Dec. 2001, pp. 1797-1816.
(pdf)
- M. Brandfass and W.C. Chew,
A multilevel fast multipole based approach for efficient
reconstruction of perfectly conducting scatterers,
Journal of Electromagnetic Waves and Applications, Vol. 55, No. 1,
Jan. 2001, pp. 81-106.
Updated 3/2/01.
(pdf)
- M. Brandfass, K.-J. Langenberg, and A. Rohrmoser,
Electromagnetic Diffraction Tomography in Angular Diversity Mode,
submitted to the IEEE Trans. on Antennas and Propagation.
- M. Brandfass and W.C. Chew,
Microwave imaging as applied to remote sensing making
use of a multilevel fast multipole algorithm,
in Algorithms for Synthetic Aperture Radar Imagery VII,
Proc. SPIE 4053, Ed: E.G. Zelnio,
Orlando, FL, April 2000, pp. 52-63. Added 5/29/00.
(pdf)
Fast Fourier Transform and Tomographic Projection/Backprojection
Algorithms
- A.A. Aydiner, W.C. Chew, and J. Song, A Sparse Data Fast Fourier
Transform (SDFFT) – Algorithm and Implementation,
IEEE Antenna
and Propagation International Symposium,
Vol. 4, July 2001, pp. 638-641. Added 5/16/02.
(pdf)
- W.C. Chew and J.M. Song,
Fast Fourier Transform of Sparse Spatial Data to Sparse
Fourier Data,
IEEE Antenna and Propagation International
Symposium, Vol. 4, July 2000, pp. 2324-2327.
(pdf)
- Y. Ding and D.C. Munson, Jr.,
A Fast Back-Projection Algorithm for Bistatic SAR Imaging,
Proc. of the IEEE
International Conference on Image Processing, Rochester, NY
to be held Sept. 22-25, 2002. Added 5/16/02.
(pdf)
- S. Xiao, Y. Bresler, and D.C. Munson, Fast Hierarchical Native
Fan-Beam Tomographic Reconstruction Algorithms, U.S. Provisional
Patent Application, Assigne: Board of Trustees of the Univ. of Illinois,
Feb. 2002.
- S. Xiao, Y. Bresler, and D.C. Munson, O(N^2 log N) Native Fan-Beam
Tomographic Reconstruction, Proc. 1st IEEE International Symposium on
Biomedical Imaging, Washington, DC, July 2002.
- S. Xiao, Topics in CT and SAR Imaging: Fast Back-Projection
Algorithms and Optimal Antenna Spacings, PhD Thesis, Univ. of
Illinois at Urbana-Champaign, Feb. 2001.
- S. Xiao, D.C. Munson, S. Basu, Y. Bresler,
An N^2 log N back-projection algorithm for SAR image
formation, Proc. 34th Asilomar Conf. on Signals, Systems, and
Computers, Pacific Grove, CA, Oct. 31 – Nov. 1, 2000.
(pdf)
Target Recognition
- S. Jana and P. Moulin, Optimal Design of Transform Coders for
Joint Signal Classification and Compression, to be submitted to the
IEEE Trans. on Information Theory, May 2002.
- A.D. Lanterman, Jump-diffusion algorithm for multiple target
recognition using laser radar range data, Optical Engineering,
Vol. 40, No. 8, Aug. 2001, pp. 1724-1728. Updated 10/4/01.
(pdf)
- A.D. Lanterman,
Maximum-Likelihood Estimation for Hybrid Specular/Diffuse
Models of Radar Imaging and Target Recognition, submitted to
IEEE
Trans. on Aerospace and Electronic Systems, May 2000.
Added 5/29/00.
(gzipped postscript)
- M.D. DeVore, A.D. Lanterman, J.A. O’Sullivan,
ATR Performance of a Rician Model for SAR Images,
in Automatic Target Recognition X,
Proc. SPIE 4050, Ed: E.G. Zelnio,
Orlando, FL, April 2000, pp. 34-45.
(postscript)
- A. Jain, P. Moulin, M.I. Miller, and K. Ramchandran,
Information-Theoretic Bounds on Target Recognition
Performance Based on Degraded Image Data,
IEEE Transactions of Pattern Analysis and
Machine Intelligence, scheduled to appear in 2002. Updated 5/10/00.
(gzipped
postscript)
- A. Jain, P. Moulin, M.I. Miller, and K. Ramchandran,
Information-Theoretic Bounds on Target Recognition
Performance, in Automatic Target Recognition X, Proc. SPIE 4050,
Ed: F.A. Sadjadi, Orlando, FL, April 2000, pp. 347-358.
Added 6/26/00.
(gzipped
postscript)
- S. Jana and P. Moulin, Optimal Design of Transform Coders and
Quantizers for Image
Classification, IEEE International Conference on
Image Processing, Vancouver, Canada, Sept. 10-13, 2000.
Added 8/23/00.
(
pdf)
- S. Jana and P. Moulin, Optimal Design of Transform Coders for Image
Classification, Proc. Conf. on
Information Sciences and Systems, Baltimore, MD, March 1999.
Added 5/30/99.
(compressed
postscript,
abstract)
Statistical Radar Imaging and
Radio Astronomy (dual-use application)
- A.D. Lanterman,
Efficient implementation of an expectation-maximization
algorithm for imaging diffuse radar targets,
in Algorithms for Synthetic Aperture Radar Imagery VIII,
Proc. SPIE 4382, Ed: E.G. Zelnio,
Orlando, FL, April 2001, to appear. Added 4/26/01.
(pdf)
- A.D. Lanterman,
Statistical Radar Imaging of Diffuse and Specular Targets
Using an Expectation-Maximization Algorithm,
in Algorithms for Synthetic Aperture Radar Imagery VII,
Proc. SPIE 4053, Ed: E.G. Zelnio,
Orlando, FL, April 2000, pp. 20-31. Added 5/29/00.
(gzipped postscript)
- A.D. Lanterman, Statistical Imaging in Radio Astronomy via
an Expectation-Maximization Algorithm for Structured
Covariance Estimation, in
Statistical Methods in
Imaging: In Medicine, Optics, and Communication,
a festschrift in honor
of Donald L. Snyder’s 65th birthday, Ed. J.A. O’Sullivan, Springer-Verlag,
to appear. Added 8/21/00.
(gzipped postscript)
- A.D. Lanterman, Radar Imaging with Variations of an
Expectation-Maximization Algorithm,
IEEE Workshop on Detection,
Estimation, Classification, and Imaging, Santa Fe, NM, February 1999.
Added 5/30/99.
(formal
one-page paper for conference proceedings, gzipped postscript;
informal four-page
extended version,
gzipped postscript)
Complexity Regularization
- A.D. Lanterman, Schwarz, Wallace, and Rissanen: Intertwining
Themes in Theories of Model Order Estimation,
International Statistical Review, Vol. 69, No. 2, August 2001,
pp. 185-212.
(pdf)
- P. Moulin and J. Liu,
Statistical Imaging and Complexity Regularization,
IEEE Trans. on Information
Theory, Vol. 46, No. 5, August 2000, pp. 1762-1777. Added 8/21/00.
(
gzipped postscript)
Note: If you are a member of the overall project
(Lockheed-Martin, DARPA, etc.), you
can go to the password-protected
preprints & reports
page.
If you are a member of the UIUC group, you can go to the
rough drafts page.
Presentations from the DARPA Project
- A.A. Aydiner, W.C. Chew, and J. Song, and T.J. Cui,
A Sparse Data Fast Fourier
Transform (SDFFT) – Algorithm and Implementation,
IEEE Antenna
and Propagation International Symposium,
July 2001. Added 5/16/02.
(viewgraphs as pdf)
- A.D. Lanterman, Statistical Radar Imaging of Diffuse and Specular
Targets Using an Expectation-Maximization Algorithm,
presented
at SPIE Aerosense 2000, Orlando, FL, April 2000.
Added 5/12/02.
(viewgraphs as pdf)
- A.D. Lanterman, Tracking and recognition of airborne targets via
commercial television and FM radio signals, presented
at SPIE Aerosense 1999, Orlando, FL, April 1999.
Updated 5/12/02.
(viewgraphs as pdf)
Useful Papers from Outside the Project
Last updated 5/16/02. Send comments or questions to
lanterma@ifp.uiuc.edu.