Robust adaptive beamforming via coprime coarray interpolation

被引：0
作者：
Zheng Z. [1 ,2 ]
Yang T. [1 ]
Wang W.-Q. [1 ]
Zhang S. [3 ]
机构：
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu
[2] Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan
[3] Research Institute Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu
来源：
Signal Processing | 2020年 / 169卷
基金：
中国国家自然科学基金;
关键词：
Coprime array; Degrees of freedom (DOF); Difference coarray; Interpolation; Robust adaptive beamforming;
D O I：
10.1016/j.sigpro.2019.107382
中图分类号：
学科分类号：
摘要：
Recently, the coprime array has aroused wide concern due to its capability of achieving enhanced degrees of freedom (DOF) and increased array aperture compared to uniform linear arrays (ULAs). However, it experiences a certain DOF and aperture loss due to the existence of “holes” in the difference coarray. These drawbacks are adverse to enhance the performance of direction-of-arrival (DOA) estimation and adaptive beamforming. In this paper, we propose a new robust adaptive beamforming algorithm with the coprime array. The proposed algorithm yields the beamforming coefficients by estimating the steering vector of the signal-of-interest (SOI) and reconstructing the interference-plus-noise covariance matrix (INCM). Unlike previous techniques, we estimate the DOAs of the SOI and interferences using an interpolated virtual ULA, and further derive their steering vectors and powers. With the high-precision DOA estimates, the steering vectors and powers can be more accurately estimated. The proposed algorithm avoids the coarray aperture loss and enhances the accuracy of INCM reconstruction. Numerical results indicate that the proposed algorithm outperforms the existing approaches in high SNR regions. © 2019 Elsevier B.V.
引用
收藏
相关论文
共 59 条
[1]  
Xu J., Liao G., Huang L., So H.C., Robust adaptive beamforming for fast-moving target detection with FDA-STAP radar, IEEE Trans. Signal Process., 65, 4, pp. 973-984, (2017)
[2]  
Blomberg A.E.A., Austeng A., Hansen R.E., Synnes S.A.V., Improving sonar performance in shallow water using adaptive beamforming, IEEE J. Ocean. Eng., 38, 2, pp. 297-307, (2013)
[3]  
Xiao Z., Zhu L., Choi J., Chao X., Xia X.G., Joint power allocation and beamforming for non-orthogonal multiple access (NOMA) in 5G millimeter wave communications, IEEE Trans. Wireless Commun., 17, 5, pp. 2961-2974, (2018)
[4]  
Karaman M., Wygant I.O., Oralkan O., Khuri-Yakub B.T., Minimally redundant 2-D array designs for 3-D medical ultrasound imaging, IEEE Trans.on Medical Imaging, 28, 7, pp. 1051-1061, (2009)
[5]  
Ellingson S.W., Beamforming and interference canceling with very large wideband arrays, IEEE Trans. Antennas Propag., 51, 6, pp. 1338-1346, (2003)
[6]  
Li J., Stoica P., Robust Adaptive Beamforming, (2005)
[7]  
Capon J., High-resolution frequency-wavenumber spectrum analysis, Proceedings of the IEEE, 57, 8, pp. 1408-1418, (1969)
[8]  
Carlson B.D., Covariance matrix estimation errors and diagonal loading in adaptive arrays, IEEE Trans. Aerosp. Electron. Syst., 24, 4, pp. 397-401, (1988)
[9]  
Li J., Stoica P., Wang Z., On robust Capon beamforming and diagonal loading, IEEE Trans. Signal Process., 51, 7, pp. 1702-1715, (2003)
[10]  
Yang J., Ma X., Hou C., Liu Y., Automatic generalized loading for robust adaptive beamforming, IEEE Signal Process. Lett., 16, 3, pp. 219-222, (2009)
123456