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International Journal of Antennas and Propagation
Volume 2015, Article ID 765385, 7 pages
Research Article

Robust Adaptive Beamforming Based on Worst-Case and Norm Constraint

1Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
2China Shipbuilding Industry Corporation, Nanjing, Jiangsu 210003, China
3China Academy of Space Technology, Xi’an, Shanxi 710000, China

Received 24 October 2014; Accepted 9 December 2014

Academic Editor: Giampiero Lovat

Copyright © 2015 Hongtao Li 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.


A novel robust adaptive beamforming based on worst-case and norm constraint (RAB-WC-NC) is presented. The proposed beamforming possesses superior robustness against array steering vector (ASV) error with finite snapshots by using the norm constraint and worst-case performance optimization (WCPO) techniques. Simulation results demonstrate the validity and superiority of the proposed algorithm.