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Virtual Reconstruction-Based Robust Adaptive Beamforming for Distributed Digital Subarray Antennas
International Journal of Antennas and Propagation ( IF 1.2 ) Pub Date : 2021-01-31 , DOI: 10.1155/2021/6649439
Jian Lu 1 , Jian Yang 1 , Bo Hou 2 , Fengchao Zhu 2 , Zhiyong Yu 2 , Guangbin Liu 1
Affiliation  

For the distributed digital subarray antennas (DDSA), the conventional beamforming may give rise to grating lobes, high sidelobes, and other problems. In this paper, the gaps between the subarrays are filled with virtual array elements, and then the DDSA can form a virtual contiguous array. More concretely, based on the direction-of-arrival (DOA) estimation of the signal sources, the interference components of the virtual elements and the interference-plus-noise covariance matrix (INCM) of the virtual contiguous array can be reconstructed. At low signal-to-noise ratio (SNR), the DOA estimation of the desired signal is implemented by subarray adaptive beamforming. Finally, with the steering vector of the desired signal and reconstructed INCM, the weight vector of the proposed beamformer can be obtained, which must be applied to the rearranged data matrix received by the actual and virtual elements. Simulation results are provided to demonstrate the effectiveness of the proposed algorithm.

中文翻译:

基于虚拟重构的分布式数字子阵天线鲁棒自适应波束形成

对于分布式数字子阵列天线(DDSA),传统的波束成形可能会引起光栅波瓣,高旁瓣和其他问题。在本文中,子阵列之间的间隙被虚拟阵列元素填充,然后DDSA可以形成虚拟连续阵列。更具体地,基于信号源的到达方向(DOA)估计,可以重建虚拟连续阵列的虚拟元件的干扰分量和干扰加噪声协方差矩阵(INCM)。在低信噪比(SNR)下,所需信号的DOA估计是通过子阵列自适应波束形成实现的。最后,利用所需信号的导引向量和重构的INCM,可以获得拟议的波束形成器的权重向量,必须将其应用于实际元素和虚拟元素接收的重新排列的数据矩阵。仿真结果表明了该算法的有效性。
更新日期:2021-01-31
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