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Journal of Electrical and Computer Engineering
Volume 2015, Article ID 864508, 7 pages
http://dx.doi.org/10.1155/2015/864508
Research Article

Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing

School of Information Science and Engineering, Xiamen University, Xiamen 361005, China

Received 4 May 2015; Revised 5 August 2015; Accepted 5 August 2015

Academic Editor: Igor Djurović

Copyright © 2015 Jing-bo Zhuang 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. T. Thayaparan, L. J. Stanković, M. Daković, and V. Popović, “Micro-Doppler parameter estimation from a fraction of the period,” IET Signal Processing, vol. 4, no. 3, pp. 201–212, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. K. Li, Y. Liu, K. Huo, W. Jiang, X. Li, and Z. Zhuang, “Estimation of micro-motion parameters based on cyclostationary analysis,” IET Signal Processing, vol. 4, no. 3, pp. 218–223, 2010. View at Publisher · View at Google Scholar · View at Scopus
  3. T. Thayaparan, K. Suresh, S. Qian, K. Venkataramaniah, S. SivaSankaraSai, and K. S. Sridharan, “Micro-doppler analysis of a rotating target in synthetic aperture radar,” IET Signal Processing, vol. 4, no. 3, Article ID ISPECX000004000003000245000001, pp. 245–255, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. T. Thayaparan, L. Stanković, and I. Djurović, “Micro-Doppler-based target detection and feature extraction in indoor and outdoor environments,” Journal of the Franklin Institute, vol. 345, no. 6, pp. 700–722, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. Q. Wang, M. Pepin, A. Wright et al., “Reduction of vibration-induced artifacts in synthetic aperture radar imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 6, pp. 3063–3073, 2014. View at Publisher · View at Google Scholar · View at Scopus
  6. P. Suresh, T. Thayaparan, T. Obulesu, and K. Venkataramaniah, “Extracting micro-doppler radar signatures from rotating targets using fourier-bessel transform and time-frequency analysis,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 6, pp. 3204–3210, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. L. Liu, D. McLernon, M. Ghogho, W. Hu, and J. Huang, “Ballistic missile detection via micro-Doppler frequency estimation from radar return,” Digital Signal Processing, vol. 22, no. 1, pp. 87–95, 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. S. B. Colegrove, S. J. Davey, and B. Cheung, “Separation of target rigid body and micro-Doppler effects in ISAR imaging,” IEEE Transactions on Aerospace and Electronic Systems, vol. 42, no. 4, pp. 1496–1506, 2006. View at Google Scholar
  9. L. Stanković, T. Thayaparan, M. Daković, and V. Popović-Bugarin, “Micro-doppler removal in the radar imaging analysis,” IEEE Transactions on Aerospace and Electronic Systems, vol. 49, no. 2, pp. 1234–1250, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. Y. H. Quan, L. Zhang, M. D. Xing, and Z. Bao, “Velocity ambiguity resolving for moving target indication by compressed sensing,” Electronics Letters, vol. 47, no. 22, pp. 1249–1251, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. Y.-X. Zhang, J.-P. Sun, B.-C. Zhang, and W. Hong, “Doppler ambiguity resolution based on compressive sensing theory,” Journal of Electronics & Information Technology, vol. 33, no. 9, pp. 2103–2107, 2011. View at Publisher · View at Google Scholar · View at Scopus
  12. N. Whitelonis and H. Ling, “Radar signature analysis using a joint time-frequency distribution based on compressed sensing,” IEEE Transactions on Antennas and Propagation, vol. 62, no. 2, pp. 755–763, 2014. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Mishali and Y. C. Eldar, “Sub-nyquist sampling,” IEEE Signal Processing Magazine, vol. 28, no. 6, pp. 98–124, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. M. F. Duarte and R. G. Baraniuk, “Spectral compressive sensing,” Applied and Computational Harmonic Analysis, vol. 35, no. 1, pp. 111–129, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. D. L. Donoho and M. Elad, “Optimally sparse representation in general (nonorthogonal) dictionaries via l1 minimization,” Proceedings of the National Academy of Sciences of the United States of America, vol. 100, no. 5, pp. 2197–2202, 2003. View at Publisher · View at Google Scholar · View at Scopus
  16. J.-H. Wang, Z.-T. Huang, Y.-Y. Zhou et al., “Generalized incoherence principle in compressed sensing,” Signal Processing, vol. 28, no. 5, pp. 675–679, 2012. View at Google Scholar
  17. L. Hu, Z. Shi, J. Zhou, and Q. Fu, “Compressed sensing of complex sinusoids: an approach based on dictionary refinement,” IEEE Transactions on Signal Processing, vol. 60, no. 7, pp. 3809–3822, 2012. View at Publisher · View at Google Scholar · View at Scopus