Page 16 - 《应用声学》2020年第6期

第 39 卷 第 6 期 Vol. 39, No. 6
2020 年 11 月 Journal of Applied Acoustics November, 2020

⋄ 研究报告 ⋄

拖曳阵被动合成孔径目标深度稳健估计 ∗

李天宇 1,2,3 李 宇 1,2 黄海宁 1,2† 迟 骋 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)
摘要：使用水下无人平台作为拖曳阵的载体，进行被动目标深度估计具有灵活性高和隐蔽性好的优点。针对
实际应用中存在的平台自噪声干扰和阵列瞬时随机加速度扰动问题，提出了一种稳健的目标深度估计方法。
该方法分为 3 个步骤，首先对阵元接收信号进行自适应噪声抵消和相位抖动滤波，然后对声压进行距离积分实
现简正波模态估计，最后计算模态匹配度，最大值对应的深度为目标深度估计结果。仿真表明在干扰背景下该
方法的目标深度估计稳健性优于传统方法，声源频率、合成孔径距离和信干比决定了目标深度估计误差。利用
实验数据验证了该方法对水下低频线谱声源的深度估计能力。
关键词：目标深度估计；水下无人平台；拖曳阵
中图法分类号: O427.9 文献标识码: A 文章编号: 1000-310X(2020)06-0810-11
DOI: 10.11684/j.issn.1000-310X.2020.06.003

Robust estimation of target depth for towed array using synthetic aperture
algorithm

LI Tianyu 1,2,3 LI Yu 1,2 HUANG Haining 1,2 CHI Cheng 1,2

(1 The Institute of Acoustics of the Chinese Academy of Sciences, Beijing 100190, China)
(2 Key Laboratory of Science and Technology on Advanced Underwater Information of the Chinese
Academy of Sciences, Beijing 100190, China)
(3 University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract: The use of a towed array with an underwater unmanned vehicle as the carrier for target depth
estimation has the advantages of high flexibility and prominent concealment. Aiming at the problems of
unmanned underwater vehicle (UUV) self-noise and random instantaneous acceleration interference in practical
applications, a robust method for towed array using synthetic aperture algorithm is proposed. The method
is divided into three steps. First, adaptive noise cancellation and phase jitter filtering are performed on the
received signals of the array sensors. Then, the sound pressure is subjected to distance integration to estimate
the normal mode distribution. Finally, the matched-mode degree is calculated, and the depth corresponding
to the maximum value is the target depth estimation. Simulations show that the robustness of the modal
depth estimation of the sound field integration method is better than that of traditional methods. The source
frequency, synthetic aperture distance, and signal-to-interference ratio determine the target depth estimation
error. The estimation of underwater low frequency tonal source is experimentally verified.
Keywords: Source depth estimation; Unmanned underwater vehicle; Towed array

2020-03-15 收稿; 2020-04-08 定稿
国家自然科学基金项目 (11904386)
∗
作者简介: 李天宇 (1993– ), 男, 河北石家庄人, 博士研究生, 研究方向: 信号与信息处理。
通信作者 E-mail: hhn@mail.ioa.ac.cn
†