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International Journal of Antennas and Propagation
Volume 2017, Article ID 3265236, 9 pages
Research Article

Adaptive Antenna Null Broadening Beamforming against Array Calibration Error Based on Adaptive Variable Diagonal Loading

1College of Information and Communications Engineering, Harbin Engineering University, Harbin, China
2Department of Electronics, Carleton University, Ottawa, ON, Canada

Correspondence should be addressed to Yu Zhao; nc.ude.uebrh@6180uyoahz

Received 7 June 2017; Accepted 29 August 2017; Published 8 October 2017

Academic Editor: Ikmo Park

Copyright © 2017 Wenxing 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.


An approach for null broadening beamforming is proposed based on adaptive variable diagonal loading (VDL) and combined with the covariance matrix taper (CMT) approach, aiming at improving the robustness of adaptive antenna null broadening beamforming when array calibration error exists. Hence, it is named VDL-CMT. In this novel approach, the signal-to-noise ratio in the tapered sample covariance matrix is estimated and the VDL factor can be obtained adaptively. Then, the covariance matrix of the CMT approach is loaded with the obtained VDL factor. According to simulation results, in the case of array calibration error, robustness of the VDL-CMT is significantly improved and its performance is better than that of the existing adaptive antenna null broadening beamforming approaches.