Compressive sensing imaging for general synthetic aperture radar echo model based on Maxwell’s equations

[1]  Q. Liang,et al.  Compressive sensing in distributed radar sensor networks using pulse compression waveforms , 2013, EURASIP J. Wirel. Commun. Netw..

[2]  Xiaotao Huang,et al.  Segmented Reconstruction for Compressed Sensing SAR Imaging , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Heung-no Lee,et al.  Coordinating transmit power and carrier phase for wireless networks with multi-packet reception capability , 2013, EURASIP J. Wirel. Commun. Netw..

[4]  Moeness G. Amin,et al.  Sparsity-based radar imaging of building structures , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[5]  Chunsheng Li,et al.  Compressive sensing SAR range compression with chirp scaling principle , 2012, Science China Information Sciences.

[6]  Qilian Liang,et al.  Compressive sensing for synthetic aperture radar in fast-time and slow-time domains , 2011, 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).

[7]  Zhijun Qiao,et al.  Filtered back projection inversion of turntable ISAR data , 2011, Defense + Commercial Sensing.

[8]  Paco López-Dekker,et al.  A Novel Strategy for Radar Imaging Based on Compressive Sensing , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Yachao Li,et al.  Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Joachim H. G. Ender,et al.  On compressive sensing applied to radar , 2010, Signal Process..

[11]  Emre Ertin,et al.  Sparsity and Compressed Sensing in Radar Imaging , 2010, Proceedings of the IEEE.

[12]  Yiming Pi,et al.  Optimized Projection Matrix for Compressive Sensing , 2010, EURASIP J. Adv. Signal Process..

[13]  B. Borden,et al.  Fundamentals of Radar Imaging , 2009 .

[14]  Thomas Strohmer,et al.  Compressed sensing radar , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[15]  Richard G. Baraniuk,et al.  Compressive Sensing , 2008, Computer Vision, A Reference Guide.

[16]  R.G. Baraniuk,et al.  Compressive Sensing [Lecture Notes] , 2007, IEEE Signal Processing Magazine.

[17]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[18]  R. Baraniuk,et al.  Compressive Radar Imaging , 2007, 2007 IEEE Radar Conference.

[19]  Can Evren Yarman,et al.  Synthetic-aperture inversion in the presence of noise and clutter , 2006 .

[20]  Emmanuel J. Candès,et al.  Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.

[21]  E. Candès,et al.  Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.

[22]  M. Cheney,et al.  Synthetic aperture inversion , 2002 .

[23]  Margaret Cheney,et al.  A Mathematical Tutorial on Synthetic Aperture Radar , 2001, SIAM Rev..

[24]  Jean-Jacques Fuchs,et al.  On the application of the global matched filter to DOA estimation with uniform circular arrays , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[25]  L. Debnath.  Nonlinear Partial Differential Equations for Scientists and Engineers , 1997 .

[26]  Mehrdad Soumekh,et al.  A system model and inversion for synthetic aperture radar imaging , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[27]  Jie Chen,et al.  Outer circular synthetic apeture radar imaging based on Maxwell’s equations , 2012 .

[28]  Lokenath Debnath,et al.  Linear Partial Differential Equations , 2012 .

[29]  Bernie Mulgrew,et al.  Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European , 2012 .

[30]  Andrzej Myśliński,et al.  Book review: "Linear Partial Differential Equations for Scientists and Engineers" by Tyn Myint-U, Lokenath Debnath , 2007 .

[31]  David L Donoho,et al.  Compressed sensing , 2006, IEEE Transactions on Information Theory.

[32]  M. Soumekh,et al.  A Theoretical Study of Model Approximation Errors in Diffraction Tomography , 1986, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.