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202401019.pdf
文章编号： 1672-6987（2024）01-0138-08； DOI： 10.16351/j.1672-6987.2024.01.019
王凯玥， 王景景， 闻卫军*(青岛科技大学 信息科学技术学院， 山东 青岛 266061）
摘要： 提出了基于特征投影矩阵和线性约束的水声阵列信号抗主瓣干扰方法。该方法首先改进重构了干扰噪声的协方差矩阵，消除预处理时期望信号对主瓣干扰特征矢量选择的影响；其次，添加线性约束，保证期望信号方向增益，约束旁瓣干扰子空间置零，同时使得自适应权矢量的模最小，消除噪声抖动；最后求取自适应权矢量进行波束形成。仿真实验结果表明，本工作算法不仅在旁瓣有更深零陷，还能使主波束保形，提高了系统的输出信干噪比。
关键词： 主瓣干扰； 特征投影矩阵； 自适应波束形成； 线性约束
中图分类号： TN 929.3文献标志码： A
引用格式： 王凯玥， 王景景， 闻卫军. 基于特征投影矩阵和线性约束的水声阵列信号抗主瓣干扰方法［J］. 青岛科技大学学报(自然科学版), 2024, 45(1): 138-145.
WANG Kaiyue, WANG Jingjing, WEN Weijun. Mainlobe interference suppression method for underwater acoustic array signal based on eigen projection matrix and linear constraint［J］. Journal of Qingdao University of Science and Technology（Natural Science Edition), 2024， 45（1）： 138-145.
Mainlobe Interference Suppression Method for Underwater Acoustic
Array Signal Based on Eigen Projection Matrix and Linear Constraint
WANG Kaiyue，WANG Jingjing,WEN Weijun
(College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China)
Abstract: Beamforming is a key technology for underwater acoustic array signal processing. Adaptive beamforming can effectively suppress sidelobe interference and improve the signal-to-noise ratio of received signals. However, interference from the main lobe region of underwater acoustic array will lead to the formation of zero trap in the main lobe of conventional adaptive beamforming, which will distort the primary beam and raise the sidelobe level, affecting the communication performance. In particular, when the expected signals are mixed into the sampled data and the interference intensity of the main lobe is large, problems such as peak offset and sidelobe zero-notch disappearance will occur. In this paper, an anti-main lobe interference method based on eigenprojection matrix and linear constraint is proposed for underwater acoustic array signal. Firstly, the covariance matrix of the interference noise is improved and reconstructed to eliminate the influence of the expected signal on the selection of the main lobe interference feature vector. Secondly, linear constraints were added to ensure the desired signal directional gain, constrain the sidelobe interference subspace zeroing, minimize the modulus of adaptive weight vector, and eliminate noise jitter. Finally, the adaptive weight vector is obtained for beamforming. The simulation results show that the proposed algorithm not only has deeper zero hole in the sidelobe, but also can keep the main beam conformal and improve the signal to noise ratio of the system.
Key words: main lobe interference; eigenprojection matrix; adaptive beamforming; linear constraints
收稿日期： 2022-12-20
基金项目： 国家自然科学基金项目（U1806201）.
作者简介： 王凯玥(1996-),女,硕士研究生.*通信联系人.
