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第 42 卷 第 2 期 Vol. 42, No. 2
2023 年 3 月 Journal of Applied Acoustics March, 2023
⋄ 研究报告 ⋄
阵不变量匹配主动声呐目标深度辨识
赵鸿铭 1,2,3 吴永胜 4 迟 骋 1,2† 李 宇 1,2 黄海宁 1,2 张春华 1,2
(1 中国科学院声学研究所 北京 100190)
(2 中国科学院先进水下信息技术重点实验室 北京 100190)
(3 中国科学院大学 北京 100049)
(4 中国人民解放军 92682 部队 湛江 524000)
摘要:水面/水下目标深度辨识可以在主动声呐探测过程中快速筛选感兴趣目标。根据目标多径返回信号到
达时间与目标深度的关联性,该文提出了基于水平线阵的主动脉冲响应匹配目标深度辨识方法,该方法利用
主动信号传播特性结合阵不变量理论提取脉冲响应,并与拷贝声场匹配实现目标深度估计。在校正了目标多
径回波的方位变化后,该方法提取的时域特征较为稳定,并且只在时延估计距离处进行深度搜索。通过水平阵
收集的宽带实验数据,在连续的多次回波中实现了对水面/水下目标 92% 的辨识成功率,验证了该方法在浅海
环境下的目标深度估计能力。
关键词:阵不变量;匹配场;目标深度辨识;主动声呐
中图法分类号: O427.9 文献标识码: A 文章编号: 1000-310X(2023)02-0193-09
DOI: 10.11684/j.issn.1000-310X.2023.02.001
Array-invariant based active target depth discrimination
ZHAO Hongming 1,2,3 WU Yongsheng 4 CHI Cheng 1,2 LI Yu 1,2
HUANG Haining 1,2 ZHANG Chunhua 1,2
(1 Institute of Acoustics, Chinese Academy of Science, Beijing 100190, China)
(2 Key Laboratory of Science and Technology on Advanced Underwater Signal Processing,
Chinese Academy of Sciences, Beijing 100190, China)
(3 University of Chinese Academy of Sciences, Beijing 100049, China)
(4 No. 92682 Troops of PLA, Zhanjiang 524000, China)
Abstract: Discriminating surface and underwater targets is important for target classification of active sonars.
Based on the relevance between the arrival times of the multipath backscattered signals and the target depth,
this paper proposes an impulse-response matching method to identify the target depth for the horizontal linear
array. This method combines active signal propagation characteristics with the array invariant to extract
impulse response, and correlates the extracted impulse response with the replicas to obtain depth estimation.
After correcting the azimuth change of the multipath echoes, the time-domain features extracted by this method
are relatively stable. Since the depth search is only conducted at the estimated distance of the propagation
delay, the computational load of the search operation is relatively low. The experimental data collected by
a horizontal array are processed and its correct rate of discrimination reaches 92%, which demonstrates the
target depth estimation ability of this method in shallow water environment.
Keywords: Array invariant; Matched processing; Target depth discrimination; Active sonar
2021-12-27 收稿; 2022-03-17 定稿
作者简介: 赵鸿铭 (1997– ), 男, 浙江台州人, 硕士研究生, 研究方向: 信号与信息处理。
† 通信作者 E-mail: chicheng@mail.ioa.ac.cn