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International Journal of Antennas and Propagation
Volume 2014, Article ID 959386, 8 pages
Research Article

Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning

1The State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE), Luoyang 471003, China
2College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

Received 26 October 2013; Accepted 24 March 2014; Published 27 April 2014

Academic Editor: Matteo Pastorino

Copyright © 2014 Zhang-Meng Liu 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.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Chengpeng Hao, Geping Lin, Shefeng Yan, Xiaochuan Ma, and Jincheng Lin, “Off-grid fast relevance vector machine algorithm for direction of arrival estimation,” IET Radar, Sonar & Navigation, 2015. View at Publisher · View at Google Scholar
  • Heping Shi, Wen Leng, Anguo Wang, and Tongfeng Guo, “DOA Estimation for Mixed Uncorrelated and Coherent Sources in Multipath Environment,” International Journal of Antennas and Propagation, vol. 2015, pp. 1–8, 2015. View at Publisher · View at Google Scholar
  • Yisong Zheng, Baixiao Chen, and Minglei Yang, “Direction of arrival estimation method for spatially adjacent coherent sources based on spatial filtering,” Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, vol. 38, no. 12, pp. 3100–3106, 2016. View at Publisher · View at Google Scholar