Page 102 - 应用声学2019年第4期

第 38 卷 第 4 期 Vol. 38, No. 4
2019 年 7 月 Journal of Applied Acoustics July, 2019

⋄ 李启虎院士八十华诞学术论文 ⋄

冰下运动目标主动探测技术研究 ∗

刘建设 1,2,3 殷敬伟 1,2,3 朱广平 1,2,3† 刘 冰 1,2,3
(1 哈尔滨工程大学 水声技术重点实验室 哈尔滨 150001)
(2 海洋信息获取与安全工信部重点实验室 (哈尔滨工程大学) 工业和信息化部 哈尔滨 150001)
(3 哈尔滨工程大学水声工程学院 哈尔滨 150001)

摘要 使用主动声呐探测冰下目标时，混响是无法回避的问题。在大面积冰层覆盖的水域中，混响具有强度
大、作用范围广的特点，导致主动声呐对目标探测的性能大大下降。该文针对有着强混响的冰下水域这一应用
背景，重点研究了基于低秩矩阵恢复理论的冰下运动目标主动探测方法。该方法运用常规波束形成获取多组
方位时间历程图像，然后利用低秩矩阵恢复算法分离图像中的混响背景与运动目标。仿真表明，不精确的增广
拉格朗日乘子法在等间隔直线阵、非等距线阵和均匀间隔圆形阵三种阵型下均有较好的效果。同时与经典的
背景差分法做了对比，表明了低秩矩阵恢复算法具有更好的适应性。松花江冰下实验验证了在线阵情况下低
秩矩阵恢复算法的实际应用性。
关键词 主动声呐，低秩矩阵恢复，冰下混响，运动目标探测
中图法分类号: TB566 文献标识码: A 文章编号: 1000-310X(2019)04-0562-07
DOI: 10.11684/j.issn.1000-310X.2019.04.013

Research on technologies of active sonar moving target detection

in under-ice waters

LIU Jianshe 1,2,3 YIN Jingwei 1,2,3 ZHU Guangping 1,2,3 LIU Bing 1,2,3

(1 Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China)
(2 Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of
Industry and Information Technology, Harbin 150001, China)
(3 College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China)

Abstract Reverberation in under-ice waters is a question that can’t be evaded when an active sonar detects
targets. In a large area of ice-covered, reverberation has the characteristics of strong strength and wide
scope, which result in poor performance of the active sonar to target detection. In this paper, moving target
detection method based on low rank matrix recovery was studied against strong reverberation in under-ice
waters. We used conventional beamforming to obtain multi-group time-bearing images and then separated
reverberation background and moving targets through low rank matrix recovery. Simulations show that the
inexact augmented Lagrange multiplier method (IALM) is effective in the case of ULA, MGA and UCA. The
comparison with classical background difference method shows that the low-rank matrix recovery algorithm
has better adaptability. The experiment on the Songhua River verified applicability of the low-rank matrix
recovery algorithm.
Key words Active sonar, Low rank matrix recovery, Reverberation under ice, Moving target detection

2019-02-26 收稿; 2019-05-07 定稿
国家重点研发计划项目 (2018YFC1405900), 国家自然科学基金项目 (61631008,51779061), 霍英东教育基金项目 (151007), 黑龙江省
∗
杰出青年科学基金项目 (JC2017017)
作者简介: 刘建设 (1995- ), 男, 山东滕州人, 硕士研究生, 研究方向: 声呐信号处理。
† 通讯作者 E-mail: guangpingzhu@hrbeu.edu.cn