基于三元阵声纳的强干扰抑制技术研究  

Research on Noise Subspace Culling Based on Three-Element Array Sonar

作　　者：吕曜辉 孙大军[1] 黄海宁 孙英棣[1] LV Yao-hui SUN Da-jun HUANG Hai-ning SUN Ying-di(National Laboratory of Underwater Acoustics Technology ,Harbin Engineering University , Harbin 150001 ,China Underwater Acoustic Engineering Center, Institute of acoustics Chinese Academy of Sciences, Beijing 100190, China)

机构地区：[1]哈尔滨工程大学水声技术重点实验室,哈尔滨150001 [2]中国科学院声学研究所水声工程中心,北京100190

出　　处：《中国电子科学研究院学报》2017年第4期406-409,共4页Journal of China Academy of Electronics and Information Technology

基　　金：自然科学基金(No.61501133)

摘　　要：为了提高三元阵被动声纳在水下强干扰下对弱目标的检测性能,文章提出了一种基于三元阵的水下强干扰子空间剔除的抑制算法。算法对强干扰和弱目标分别采用了两种不同的快照数进行处理,用较短的时间估计运动强干扰的干扰空间,采用正交投影的办法从原始信号中去除强干扰;对得到的信号作时间累积,通过自适应波束形成算法或常规波束形成算法实现对弱目标地检测。根据海试数据的处理结果表明,文中建立的算法可以有效地将运动强干扰从接收到的原始信号中剔除,实现了干扰抑制作用,提高了运动强干扰下三元阵声纳对弱目标的检测性能。In order to improve the performance of the three-element passive sonar for weak target detection under strong underwater noise sources,a suppression algorithm based on three-element array is proposed to eliminate the strong noise source subspace. The algorithm uses two different snapshots to deal with the strong noise source and the weak target respectively. The interference space of the strong noise source is estimated in a short time. The strong noise source is removed from the original signal by orthogonal projection. The resulting signal is integrated for a long time and detected by an adaptive beamforming algorithm or a conventional beamforming algorithm. According to the results of the sea experimental data,it is shown that the proposed algorithm can effectively remove the strong noise source from the received original signal,and achieve the interference suppression effect,The algorithm improves the detection performance of the weak target with three-element sonar under the strong noise source.

关 键 词：强干扰抑制 弱目标检测 波束形成 三元阵被动声纳 

分 类 号：TB566[交通运输工程—水声工程]