一种适用于北极双轴声道的改进压缩匹配场定位算法研究

吕玉娇; 刘崇磊; 张扬帆; 黄海宁

doi:10.11999/JEIT211445

一种适用于北极双轴声道的改进压缩匹配场定位算法研究

doi: 10.11999/JEIT211445

吕玉娇^{1, 2, 3},
刘崇磊^{1, 2},
张扬帆^{1, 2},
黄海宁^{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 100190

基金项目: 国家重点研发计划(2021YFC2801200)

详细信息

作者简介:
吕玉娇：女，1995年生，博士生，研究方向为水声信号处理、阵列信号处理

刘崇磊：男，1990年生，副研究员，研究方向为水声信号处理、阵列信号处理、水声通信

张扬帆：女，1979年生，研究员，研究方向为水声信号处理、水声通信

黄海宁：男，1969年生，研究员，博士生导师，研究方向为阵列信号处理、水下无线传感器网络、合成孔径声呐

通讯作者:
黄海宁　hhn@mail.ioa.ac.cn

中图分类号: TB566
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- 被引次数: 0
出版历程
- 收稿日期: 2021-12-06
- 修回日期: 2022-03-28
- 网络出版日期: 2022-04-07
- 刊出日期: 2022-06-21

Research on an Improved Compressive Matched Field Localization Algorithm for Arctic Double Channels

LÜ Yujiao^{1, 2, 3},
LIU Chonglei^{1, 2},
ZHANG Yangfan^{1, 2},
HUANG Haining^{1, 2
, ,}

1.
Institute of Acoustic, Chinese Academic of Sciences, Beijing 100190, China
2.
Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing, Chinese Academy of Sciences, Beijing 100190, China
3.
University of Chinese Academic of Sciences, Beijing 100190, China

Funds: The National Key Research and Development Program of China (2021YFC2801200)

摘要

摘要: 北极水域信道特殊，匹配场处理作为一类可结合环境信息进行信号处理的目标定位方法，在模型匹配时可以准确估计出声源位置，但存在环境变化复杂且信息了解少的问题，导致模型很难完全匹配，从而出现位置估计不准确的问题。该文提出建立一种改进的压缩匹配场模型，并基于相位归一化原理对稀疏模型进行优化，利用归一化阵元域信息进行匹配，以消除声源频谱的影响，提高压缩匹配场的定位准确度。仿真结果表明，改进后方法比改进前方法的定位准确率更高；试验数据处理表明，单快拍下改进后方法比改进前方法在目标位置估计上误差更小，比常规匹配场方法的分辨率更高。
- 匹配场定位 /
- 阵处理 /
- 压缩感知 /
- 北极
Abstract: Arctic underwater channels are complex. Matched field processing is a kind of target localizing method that can combine environmental information with signal processing methods. The target position can be accurately estimated when model is matched. However, due to the complex environment and the lack of key information, it is difficult to match the model completely, which leads to the problem of inaccurate estimation. In this paper, an improved matched field algorithm is proposed. Based on the principle of phase normalization, the sparse model is optimized, and the normalized information of arrays is used for matching to eliminate the influence of signal spectrum. The simulation result shows that the accuracy of the improved method is higher than that of the former method. The experimental data processing shows that the improved method has less error in target position estimation and higher resolution than the conventional matched field processing method.
- Matched field localization /
- Array processing /
- Compressive sensing /
- Arctic

HTML全文

图 1 环境仿真模型

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图 2 信噪比为0 dB情况下定位结果比较

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图 3 信噪比为5 dB情况下定位结果比较

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图 4 信噪比为14 dB情况下定位结果比较

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图 5 不同方法的定位准确度

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图 6 不同假设下统计量的概率密度分布函数

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图 7 不同快拍下的ROC曲线

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图 8 试验环境声速剖面

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图 9 上表面反射较弱情况下的传播损失

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图 10 接收信号时频图

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图 11 声源距离随时间变化情况

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图 12 不同方法的多频点处理结果

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表 1 统计误差

信噪比(dB)	估计目标	常规匹配场	压缩匹配场	改进方法
0	距离(km)	3.14	3.03	3.16
0	深度(m)	24.26	25.69	25.80
5	距离(km)	1.04	1.67	1.69
5	深度(m)	6.30	10.69	10.30
14	距离(km)	0.43	4.70	1.99
14	深度(m)	0.05	0.65	0.20

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表 2 参数设置

	厚度(m)	压缩波速(m/s)	切向波速(m/s)	密度(g/cm³)	压缩波衰减(dB/(km·Hz))	剪切波衰减(dB/(km·Hz))
介质1	1019.45	–	0	1	0	0
沉积层	–	2000	0	2	0	0

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表 3 估计结果比较

	测量	常规匹配场	压缩匹配场	改进方法
距离(km)	4	5.70	1.15	4.10
深度(m)	45	74	111	64

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参考文献(20)

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