Passive/Active Radar: Publications

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.

• 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)

Last updated 5/16/02. Send comments or questions to lanterma@ifp.uiuc.edu.