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基于线性约束最小方差的稳健波束形成算法
引用本文:吕岩,曹菲.基于线性约束最小方差的稳健波束形成算法[J].北京航空航天大学学报,2023,49(3):617-624.
作者姓名:吕岩  曹菲
作者单位:1.火箭军工程大学 核工程学院,西安 710025
摘    要:针对平面阵列天线波束形成过程中的波达方向(DOA)估计失配问题,提出在期望信号(SOI)方向附近增加线性约束的算法,有效提升了平面阵列波束形成的稳健性;此外,针对增加线性约束会导致波束形成算法自由度降低的问题,以均匀线阵为例,提出在广义旁瓣相消(GSC)算法模型中添加阻塞矩阵预选环节的算法,有效解决了添加线性约束所致的自由度损失问题,从而使算法在提升稳健性的同时保持了原有的自由度。最后,通过计算机仿真实验验证了所提算法的有效性。

关 键 词:稳健波束形成  波达方向估计失配  线性约束最小方差  广义旁瓣相消  阻塞矩阵
收稿时间:2021-05-28

Robust beamforming based on linear constraint minimum variance algorithm
Affiliation:1.Nuclear Engineering College,Rocket Force University of Engineering,Xi’an 710025,China2.Unit 96746 of PLA,Korla 841000,China
Abstract:In order to solve the problem of estimation mismatch of the direction of arrival (DOA) in the beamforming of planar antenna arrays, a method of adding linear constraints near the direction of the signal of interest (SOI) is used to improve the robustness of beamforming. In addition, to address the problem that adding linear constraints will lead to a reduction in the degree of freedom of the algorithm, taking the uniform linear array as an example, a blocking matrix pre-selection link is added to the generalized sidelobe cancellation (GSC) model. By properly addressing the degrees of freedom loss brought on by the addition of linear constraints, the new approach increases resilience while preserving the original degree of freedom. Finally, the effectiveness of the proposed algorithm is verified by experimental results. 
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