ISAR imaging of maneuvering targets with missing data via matching pursuit

This paper presents a matching pursuit (MP)-based inverse synthetic aperture radar (ISAR) imaging algorithm in missing-data case. The valid ISAR data matrix is presented as linear combination of a set of basis sub-signals, which are generated by discretizing the target spatial domain and synthesizing the ISAR data for every discretized spatial position. Then ISAR imaging problem is converted into a basis sub-signal selection problem and solved via MP-based algorithm. In the case of unknown rotation rate, multiple ISAR images are firstly formed by the proposed algorithm with multiple rotation rate candidates, and then the true rotation rate is determined by searching the maximal contrast among all ISAR image candidates. Numerical examples show that the proposed algorithm can produce high resolution and remove sidelobe artifacts in missing-data case.

[1]  B. D. Steinberg,et al.  Reduction of sidelobe and speckle artifacts in microwave imaging: the CLEAN technique , 1988 .

[2]  W. Carrara,et al.  Spotlight synthetic aperture radar : signal processing algorithms , 1995 .

[3]  Mengdao Xing,et al.  A New Algorithm for Sparse Aperture Interpolation , 2007, IEEE Geoscience and Remote Sensing Letters.

[4]  S. Quegan.  Spotlight Synthetic Aperture Radar: Signal Processing Algorithms. , 1997 .

[5]  Erik G. Larsson,et al.  Amplitude spectrum estimation for two-dimensional gapped data , 2002, IEEE Trans. Signal Process..

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

[7]  J. C. Kirk,et al.  Interrupted synthetic aperture radar (SAR) , 2001, Proceedings of the 2001 IEEE Radar Conference (Cat. No.01CH37200).

[8]  P. Stoica,et al.  Nonparametric spectral analysis of gapped data via an adaptive filtering approach , 2001 .

[9]  Jian Li,et al.  Nonparametric spectral analysis with missing data via the EM algorithm , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

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

[11]  S. Kent,et al.  High resolution radar imaging from incomplete data , 2008, 2008 IEEE Radar Conference.

[12]  Gang Li,et al.  ISAR imaging of maneuvering targets via matching pursuit , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[13]  Gang Li,et al.  An Efficient Greedy Algorithm for Sparse Recovery in Noisy Environment , 2009, ArXiv.