High-Resolution Imaging and 3-D Reconstruction of Precession Targets by Exploiting Sparse Apertures

Inverse synthetic aperture radar (ISAR) imaging of a precessing target, which is a kind of fast spinning target, is faced with migration through range cell when using traditional imaging algorithms. Theory of compressed sensing (CS) suggests that exact recovery of an unknown sparse signal with an overwhelming probability can be achieved from very limited number of samples. A cycle shift smoothed L0 algorithm based on CS is proposed in this paper for high-resolution ISAR imaging of precessing targets by exploiting sparse apertures. A precessing cone-shaped target model is built and a 3-D reconstruction method based on multistatic ISAR is proposed. Simulations and electromagnetic computation verify the validity of the proposed method.

[1]  Zheng Bao,et al.  High-Resolution ISAR Imaging by Exploiting Sparse Apertures , 2012, IEEE Transactions on Antennas and Propagation.

[2]  Kevin M. Cuomo,et al.  High resolution 3D "snapshot" ISAR imaging and feature extraction , 2001 .

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

[4]  D. Mensa.  High resolution radar imaging , 1981 .

[5]  Daniele Stagliano,et al.  Compressive sensing for interferometric inverse synthetic aperture radar applications , 2016 .

[6]  Stephen P. Boyd,et al.  Enhancing Sparsity by Reweighted ℓ1 Minimization , 2007, 0711.1612.

[7]  Christian Jutten,et al.  A Fast Approach for Overcomplete Sparse Decomposition Based on Smoothed $\ell ^{0}$ Norm , 2008, IEEE Transactions on Signal Processing.

[8]  Zheng Bao,et al.  High-Resolution 3D Imaging of Precession Cone-Shaped Targets , 2014, IEEE Transactions on Antennas and Propagation.

[9]  Bhaskar D. Rao,et al.  Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm , 1997, IEEE Trans. Signal Process..

[10]  Lianggui Xie,et al.  Micro-Doppler Signature Extraction from Ballistic Target with Micro-Motions , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Xiang Li,et al.  Fourier-Sparsity Integrated Method for Complex Target ISAR Imagery , 2015, Sensors.

[12]  Feng Zhu,et al.  Three-dimensional precession feature extraction of space targets , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Carmine Clemente,et al.  'The Micro-Doppler Effect in Radar' by V.C. Chen , 2012 .

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

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

[16]  Mengdao Xing,et al.  Narrow-band radar imaging of spinning targets , 2011, Science China Information Sciences.

[17]  Christian Jutten,et al.  On the Stable Recovery of the Sparsest Overcomplete Representations in Presence of Noise , 2010, IEEE Transactions on Signal Processing.

[18]  Qiang Fu,et al.  High-Resolution Fully Polarimetric ISAR Imaging Based on Compressive Sensing , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Jian Huang,et al.  Ballistic missile detection via micro-Doppler frequency estimation from radar return , 2012, Digit. Signal Process..

[20]  Marco Martorella,et al.  Compressive sensing-based inverse synthetic radar imaging imaging from incomplete data , 2016 .

[21]  Yachao Li,et al.  High-Resolution ISAR Imaging With Sparse Stepped-Frequency Waveforms , 2011, IEEE Transactions on Geoscience and Remote Sensing.

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

[23]  Zheng Bao,et al.  Joint ISAR Imaging and Cross-Range Scaling Method Based on Compressive Sensing With Adaptive Dictionary , 2015, IEEE Transactions on Antennas and Propagation.

[24]  Mengdao Xing,et al.  Achieving Higher Resolution ISAR Imaging With Limited Pulses via Compressed Sampling , 2009, IEEE Geoscience and Remote Sensing Letters.

[25]  Thomas Strohmer,et al.  High-Resolution Radar via Compressed Sensing , 2008, IEEE Transactions on Signal Processing.

[26]  Kei Suwa,et al.  Three-Dimensional Target Geometry and Target Motion Estimation Method Using Multistatic ISAR Movies and Its Performance , 2011, IEEE Transactions on Geoscience and Remote Sensing.