摘要
水下无人航行器(Underwater Unmanned Vehicle,UUV)作为一种智能水下作业系统,其运行过程中产生的自噪声将对舷侧阵声纳造成强烈干扰。当前主流的自适应波束形成技术主要用于抑制远场干扰,对于UUV自干扰这一类近场强干扰的适应性不足。针对这一问题,提出一种基于协方差矩阵重构的UUV自干扰抑制方法。由于舷侧阵与UUV的刚性连接特性,当工况不变时,UUV自干扰协方差矩阵在时间上具有高度稳定性。基于此特性,新方法首先利用预采集数据估计自干扰协方差矩阵,然后利用该矩阵对远场干扰和噪声的协方差矩阵进行修正,从而构建干扰加噪声协方差矩阵,以便计算自适应波束形成器的权重。实验结果显示,与当前主流自适应波束形成方法相比,新方法在输入信噪比高于0 dB时表现更好;与矩阵滤波类方法相比,新方法可以将干扰抑制效果提升约6 dB。
The underwater unmanned vehicle(UUV),as an intelligent underwater operational system,generates a noise during operation,that can significantly interfere with the flank array sonar.The current mainstream adaptive beamforming techniques are primarily designed to suppress the far-field interference and have insufficient adaptability to the strong near-field interference caused by UUV self-interference.To address this issue,this paper proposes a UUV self-interference suppression algorithm based on covariance matrix reconstruction.The covariance matrix of the UUV self-interference exhibits high temporal stability under constant operating conditions due to the rigid connection between the flank array and the UUV.Leveraging this characteristic,the peoposed algorithm first estimates the self-interference covariance matrix with pre-collected data,and then utilizes this matrix to modify the covariance matrix of far-field interference and noise.Consequently,an interference-plus-noise covariance matrix is constructed to compute the weights of the adaptive beamformer.Experimental results indicate that,compared to current mainstream adaptive beamforming methods,the proposed algorithm performs better when the input signal-to-noise ratio exceeds 0 dB.Moreover,compared to matrix filtering methods,it can enhance interference suppression effect by approximately 6 dB.
作者
梁国龙
陈宇
邱龙皓
李赢
杜致尧
郑擎宇
LIANG Guolong;CHEN Yu;QIU Longhao;LI Ying;DU Zhiyao;ZHENG Qingyu(National Key Laboratory of Underwater Acoustic Technology,Harbin Engineering University,Harbin 150001,Heilongjiang,China;Key Laboratory of Marine Information Acquisition and Security pf Ministry of Industry and Information Technology,Harbin Engineering University,Harbin 150001,Heilongjiang,China;College of Underwater Acoustic Engineering,Harbin Engineering University,Harbin 150001,Heilongjiang,China)
出处
《兵工学报》
北大核心
2025年第11期301-309,共9页
Acta Armamentarii
基金
国家自然科学基金项目(62401173)。
关键词
水下无人航行器
自干扰抑制
阵列信号处理
被动声纳
unmanned underwater vehicle
self-interference suppression
array signal processing
passive sonar
