Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2014, Article ID 206146, 7 pages
http://dx.doi.org/10.1155/2014/206146
Research Article

Fast Method for DOA Estimation with Circular and Noncircular Signals Mixed Together

1School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
2School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
3School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China

Received 9 August 2014; Revised 15 September 2014; Accepted 16 September 2014; Published 1 October 2014

Academic Editor: Zhihua Zhang

Copyright © 2014 Yaoping Zeng 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. H. Krim and M. Viberg, “Two decades of array signal processing research: the parametric approach,” IEEE Signal Processing Magazine, vol. 13, no. 4, pp. 67–94, 1996. View at Publisher · View at Google Scholar · View at Scopus
  2. W. J. Si, X. G. Qu, and L. T. Liu, “Augmented lagrange based on modified covariance matching criterion method for DOA estimation in compressed sensing,” The Scientific World Journal, vol. 2014, Article ID 914327, 4 pages, 2014. View at Publisher · View at Google Scholar
  3. C. J. Huang, “Fast DOA estimation algorithm based on a combination of an orthogonal projection and noise pseudo-eigenvector approach,” ISRN Signal Processing, vol. 2011, Article ID 751670, 8 pages, 2011. View at Publisher · View at Google Scholar
  4. J. L. Chen, J. Q. Li, P. Li, Y. P. Zhu, and W. J. Long, “Joint DOD and DOA estimation for high speed target using bistatic MIMO radar,” International Journal of Antennas and Propagation, vol. 2014, Article ID 914327, 10 pages, 2014. View at Publisher · View at Google Scholar
  5. P. Jančovič, X. Zou, and M. Köküer, “Underdetermined DOA estimation via independent component analysis and time-frequency masking,” Journal of Electrical and Computer Engineering, vol. 2010, Article ID 450487, 7 pages, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. P. Chargé, Y. Wang, and J. Saillard, “A non-circular sources direction finding method using polynomial rooting,” Signal Processing, vol. 81, no. 8, pp. 1765–1770, 2001. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Haardt and F. Römer, “Enhancements of unitary ESPRIT for non-circular sources,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 101–104, May 2004. View at Scopus
  8. H. Abeida and J.-P. Delmas, “MUSIC-like estimation of direction of arrival for noncircular sources,” IEEE Transactions on Signal Processing, vol. 54, no. 7, pp. 2678–2690, 2006. View at Publisher · View at Google Scholar · View at Scopus
  9. J.-P. Delmas, “Asymptotically minimum variance second-order estimation for noncircular signals with application to DOA estimation,” IEEE Transactions on Signal Processing, vol. 52, no. 5, pp. 1235–1241, 2004. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  10. H. Abeida and J.-P. Delmas, “Statistical performance of MUSIC-like algorithms in resolving noncircular sources,” IEEE Transactions on Signal Processing, vol. 56, no. 9, pp. 4317–4329, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  11. S. B. Hassen, F. Bellili, A. Samet, and S. Affes, “DOA estimation of temporally and spatially correlated narrowband noncircular sources in spatially correlated white noise,” IEEE Transactions on Signal Processing, vol. 59, no. 9, pp. 4108–4121, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  12. Y. H. Abamovich, D. A. Gray, A. Y. Gorokhov, and N. K. Spence, “Comparison of DOA estimation performance for various types of sparse antenna array geometries,” in Proceedings of the 8th, European signal processing conference (EUSIPCO '96), pp. 915–918, 1996.
  13. X.-M. Yang, G.-J. Li, and Z. Zheng, “Low-complexity 2D DOA estimator of coherently distributed noncircular sources,” in Proceedings of the International Conference on Wireless Communications and Signal Processing (WCSP '13), pp. 1–5, October 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. Z.-M. Liu, Z.-T. Huang, Y.-Y. Zhou, and J. Liu, “Direction-of-arrival estimation of noncircular signals via sparse representation,” IEEE Transactions on Aerospace and Electronic Systems, vol. 48, no. 3, pp. 2690–2698, 2012. View at Publisher · View at Google Scholar · View at Scopus
  15. F. Gao, A. Nallanathan, and Y. Wang, “Improved MUSIC under the coexistence of both circular and noncircular sources,” IEEE Transactions on Signal Processing, vol. 56, no. 7, pp. 3033–3038, 2008. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  16. J. S. Goldstein, I. S. Reed, and L. L. Scharf, “A multistage representation of the Wiener filter based on orthogonal projections,” IEEE Transactions on Information Theory, vol. 44, no. 7, pp. 2943–2959, 1998. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  17. L. Huang, S. J. Wu, and L. R. Zhang, “A novel MUSIC algorithm for direction-of-arrival estimation without the estimate of covariance matrix and its eigendecomposition,” in Proceedings of the 61st IEEE Vehicular Technology Conference (VTC '05), vol. 1, pp. 16–19, 2005. View at Publisher · View at Google Scholar