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.