Table of Contents Author Guidelines Submit a Manuscript
International Journal of Antennas and Propagation
Volume 2014 (2014), Article ID 612326, 9 pages
http://dx.doi.org/10.1155/2014/612326
Research Article

3D Imaging Algorithm for Down-Looking MIMO Array SAR Based on Bayesian Compressive Sensing

1College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
2Textile College, Henan Institute of Engineering, Zhengzhou 451191, China

Received 21 February 2014; Accepted 17 April 2014; Published 11 May 2014

Academic Editor: Wei Xu

Copyright © 2014 Xiaozhen Ren et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. L. Mensa, High Resolution Radar Imaging, Artech House, Dedham, Mass, USA, 1981.
  2. W. G. Carrara, R. S. Goodman, and R. M. Majewski, Spotlight Synthetic Aperture Radar: Signal Processing and Algorithms, Artech House, Boston, Mass, USA, 1995.
  3. X. Ren, J. Sun, and R. Yang, “A new three-dimensional imaging algorithm for airborne forward-looking SAR,” IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 1, pp. 153–157, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. B. Pang, D. Dai, Y. Z. Li et al., “Research on forward-looking synthetic aperture radar imaging algorithm of high velocity platform,” in Proceedings of the IET International Radar Conference, 2013.
  5. J. Klare, “A new airborne radar for 3D imaging simulation study of ARTINO,” in Proceedings of the 6th European Conference on Synthetic Aperture Radar (EUSAR '06), Dresden, Germany, May 2006.
  6. Y. Wang, L. Du, W. Hong, W. Tan, and Y. Wu, “A three-dimensional range migration algorithm for downward-looking 3D-SAR with single-transmitting and multiple-receiving linear array antennas,” EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 957916, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. X. M. Peng, Y. P. Wang, W. X. Tan et al., “Fast wavenumber domain imaging algorithm for airborne downward-looking array 3d-SAR based on region of interest pick,” Journal of Electronics & Information Technology, vol. 35, no. 7, pp. 1525–1531, 2013. View at Google Scholar
  8. J. Klare, “Digital beamforming for a 3D mimo sar—improvements through frequency andwaveform diversity,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium ((IGARSS '08)), pp. V17–V20, Boston, Mass, USA, July 2008. View at Publisher · View at Google Scholar · View at Scopus
  9. W. Q. Wang, “MIMO SAR imaging: potential and challenges,” IEEE Aerospace and Electronic Systems Magazine, vol. 28, no. 8, pp. 18–23, 2013. View at Google Scholar
  10. Y. N. Hou, Study of radar imaging technology based on sparse array antenna [Ph.D. thesis], Institute of Electronics, Chinese Academy of Sciences, 2010.
  11. S. Ji, Y. Xue, and L. Carin, “Bayesian compressive sensing,” IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2346–2356, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. X. Z. Zhang, J. H. Qin, and G. J. Li, “SAR target classification using bayesian compressive sensing with scattering centers features,” Progress in Electromagnetics Research, vol. 136, pp. 385–407, 2013. View at Google Scholar
  13. J. Xu, Y. Pi, and Z. Cao, “Bayesian compressive sensing in synthetic aperture radar imaging,” IET Radar, Sonar & Navigation, vol. 6, no. 1, pp. 2–8, 2012. View at Google Scholar
  14. M. A. Herman and T. Strohmer, “High-resolution radar via compressed sensing,” IEEE Transactions on Signal Processing, vol. 57, no. 6, pp. 2275–2284, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. S. D. Babacan, R. Molina, and A. K. Katsaggelos, “Bayesian compressive sensing using laplace priors,” IEEE Transactions on Image Processing, vol. 19, no. 1, pp. 53–63, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Çetin and W. C. Karl, “Feature-enhanced synthetic aperture radar image formation based on nonquadratic regularization,” IEEE Transactions on Image Processing, vol. 10, no. 4, pp. 623–631, 2001. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Zhang, Z.-J. Qiao, M. Xing, Y. Li, and Z. Bao, “High-resolution ISAR imaging with sparse stepped-frequency waveforms,” IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4630–4651, 2011. View at Publisher · View at Google Scholar · View at Scopus