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Mathematical Problems in Engineering
Volume 2016, Article ID 3986903, 9 pages
http://dx.doi.org/10.1155/2016/3986903
Research Article

A Novel STAP Algorithm for Airborne MIMO Radar Based on Temporally Correlated Multiple Sparse Bayesian Learning

1Air Force Engineering University, Xi’an 710051, China
2National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Received 1 March 2016; Revised 28 June 2016; Accepted 20 July 2016

Academic Editor: Cornel Ioana

Copyright © 2016 Hanwei 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.

How to Cite this Article

Hanwei Liu, Yongshun Zhang, Yiduo Guo, Qiang Wang, and Yifeng Wu, “A Novel STAP Algorithm for Airborne MIMO Radar Based on Temporally Correlated Multiple Sparse Bayesian Learning,” Mathematical Problems in Engineering, vol. 2016, Article ID 3986903, 9 pages, 2016. https://doi.org/10.1155/2016/3986903.