基于矢量水听器单通道瞬时相位差加权的水下目标测向方法

doi:10.16180/j.cnki.issn1007-7820.2023.10.002

摘要/Abstract

摘要：

针对在远程低信噪比条件下常规复声强方法目标测向精度较差的问题,文中提出了一种基于矢量水听器单通道瞬时相位差加权的水下目标测向方法。该方法根据水下目标线谱频率单元对应瞬时相位差相对稳定以及背景噪声频率单元对应瞬时相位差随机变化的特点,对矢量水听器各通道频率单元进行瞬时相位差的方差加权,增强了线谱信噪比增益并有效抑制了背景噪声的能量干扰,实现了对水下目标的高精度测向。仿真分析和实验验证了文中所提方法在-20~10 dB的低信噪比条件下的测向精度比常规复声强法平均提高15.8%。

关键词: 信息处理, 矢量水听器, 水下目标辐射噪声, 瞬时相位差, 低信噪比, 水下目标方位估计, 复声强器, 声能流

Abstract:

In order to solve the problem of poor target direction finding accuracy of conventional complex acoustic intensity method under the condition of low SNR(Signal-to-Noise Ratio), an underwater target direction finding method based on vector hydrophone single channel instantaneous phase difference weighting is proposed in this study. According to the characteristics that the instantaneous phase difference corresponding to the line spectrum frequency unit of underwater target is relatively stable and the instantaneous phase difference corresponding to the background noise frequency unit changes randomly, the variance weighting of the instantaneous phase difference of each channel frequency unit of vector hydrophone is carried out to enhance the SNR gain of the line spectrum and effectively restrain the energy interference of the background noise, thus realizing the high precision direction finding of underwater target. Simulation analysis and experimental verifications show that the direction finding accuracy of the proposed method is 15.8% higher than that of the conventional complex acoustic intensity method under the condition of low SNR at -20~10 dB.

Key words: information processing, vector hydrophone, underwater target radiated noise, instantaneous phase difference, low signal-noise rate, underwater target bearing estimation, complex sound intensity, acoustic energy flux

中图分类号:

TN911.6

白兴宇,刘明禹,姜煜,王祎奇,李帅. 基于矢量水听器单通道瞬时相位差加权的水下目标测向方法[J]. 电子科技, 2023, 36(10): 9-14.

BAI Xingyu,LIU Mingyu,JIANG Yu,WANG Yiqi,LI Shuai. Underwater Target Direction Finding Method Based on Vector Hydrophone Single Channel Instantaneous Phase Difference Weighting[J]. Electronic Science and Technology, 2023, 36(10): 9-14.

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参考文献 19

[1]	Hochwald B, Nehorai A. Identifiability in array processing models with vector-sensor applications[J]. IEEE Transactions on Signal Processing, 1996, 44(1):83-95. doi: 10.1109/78.482014
[2]	杨德森, 朱中锐, 田迎泽. 矢量声呐技术理论基础及应用发展趋势[J]. 水下无人系统学报, 2018, 26(3):185-192.
	Yang Desen, Zhu Zhongrui, Tian Yingze. Theoretical bases and application development trend of vector sonar technology[J]. Journal of Unmanned Undersea Systems, 2018, 26(3):185-192.
[3]	Huang W, Liu M, Li D, et al. Collaborating ray tracing and AI model for AUV-assisted 3-D underwater sound-speed inversion[J]. IEEE Journal of Oceanic Engineering, 2021, 46(4):1372-1390. doi: 10.1109/JOE.2021.3066780
[4]	Felisberto P, Santos P, Jesus S M. Acoustic pressure and particle velocity for spatial filtering of bottom arrivals[J]. IEEE Journal of Oceanic Engineering, 2018, 44(1):179-192. doi: 10.1109/JOE.2018.2807898
[5]	Nehorai A, Paldi E. Acoustic vectorsensor array proce-ssing[J]. IEEE Transactions on Signal Processing, 1994, 42(9):2481-2491. doi: 10.1109/78.317869
[6]	惠俊英, 刘宏, 余华兵, 等. 声压振速联合信息处理及其物理基础初探[J]. 声学学报, 2000(4):303-307.
	Hui Junying, Liu Hong, Yu Huabing, et al. Study on the physical basis of pressure and particle velocity combined processing[J]. Acta Acoustica, 2000(4):303-307.
[7]	惠俊英, 李春旭, 梁国龙, 等. 声压和振速联合信号处理抗相干干扰[J]. 声学学报, 2000(5):389-394.
	Hui Junying, Li Chunxu, Liang Guolong, et al. With pre-ssure and particle velocity a combined signal processing approach against coherent interference[J]. Acta Acoustica, 2000(5):389-394.
[8]	王文龙, 王超, 马士全, 等. 基于单矢量水听器的水声目标探测系统[J]. 国外电子测量技术, 2021, 40(10):6-11.
	Wang Wenlong, Wang Chao, Ma Shiquan, et al. Underwater acoustic target detection system based on a single vector hydrophone[J]. Foreign Electronic Measurement Technology, 2021, 40(10):6-11.
[9]	张小勇, 张国军, 尚珍珍, 等. 用于单矢量水听器方位估计的加权直方图法[J]. 水下无人系统学报, 2021, 29(2): 164-169.
	Zhang Xiaoyong, Zhang Guojun, Shang Zhenzhen, et al. Weighted histogram method for DOA estimation using single vector hydrophone[J]. Journal of Unmanned Undersea Systems, 2021, 29(2):164-169.
[10]	白兴宇, 欧宏飞, 姜煜, 等. 基于声能流矢量补偿的水下目标高精度DOA估计[J]. 电子科技, 2020, 33(8):34-39.
	Bai Xingyu, Ou Hongfei, Jiang Yu, et al. High-precision DOA estimation of underwater targets based on acoustic energy flux vector counteraction[J]. Electronic Science and Technology, 2020, 33(8):34-39.
[11]	王超, 王文龙, 袁猛, 等. 单矢量水听器直方图测向算法目标探测性能分析[J]. 应用声学, 2021, 40(2):316-322.
	Wang Chao, Wang Wenlong, Yuan Meng, et al. Analysis of target detection performance for a single vector hydrophone windowed histogram algorithm[J]. Journal of Applied Acoustics, 2021, 40(2):316-322.
[12]	曹怀刚, 任群言, 郭圣明, 等. 卷积神经网络单矢量水听器方位估计[J]. 哈尔滨工程大学学报, 2020, 41(10):1524-1529.
	Cao Huaigang, Ren Qunyan, Guo Shengming, et al. Source azimuth estimation with single vector sensor based on convolutional neural network[J]. Journal of Harbin Engineering University, 2020, 41(10):1524-1529.
[13]	笪良龙, 侯文姝, 孙芹东, 等. 单矢量水听器估计目标方位的方法与实验[J]. 应用声学, 2015, 34(6):516-525.
	Da Lianglong, Hou Wenshu, Sun Qindong, et al. An experiment on azimuth estimation of target by single vector hydrophone[J]. Journal of Applied Acoustics, 2015, 34(6):516-525.
[14]	Huang S, Hou X, Liu W, et al. Mimicking ship-radiated noise with chaos signal for covert underwater acoustic communication[J]. IEEE Access, 2020, 8(9):180341-180351. doi: 10.1109/Access.6287639
[15]	Lei Z, Lei X, Zhou C, et al. Research on feature extraction of ship-radiated noise based on compressed sensing and center frequency[J]. IEEE Access, 2021, 9(9):128679-128686. doi: 10.1109/ACCESS.2021.3113042
[16]	徐萍. 水声目标辐射噪声特征提取与识别技术研究[D]. 南京: 东南大学, 2019:7-8.
	Xu Ping. Research on feature extraction and recognition technology of underwater acoustic target radiated noise[D]. Nanjing: Southeast University, 2019:7-18.
[17]	Tollefsen D, Dosso S E, Knobles D P. Ship-of-opportunity noise inversions for geoacoustic profiles of a layered mud-sand seabed[J]. IEEE Journal of Oceanic Engineering, 2019, 45(1):189-200. doi: 10.1109/JOE.48
[18]	刘剑鸣, 冯松鹤, 任丽娜, 等. 利用间歇混沌检测含噪未知频率信号的研究[J]. 计量学报, 2019, 40(3):472-476.
	Liu Jianming, Feng Songhe, Ren Lina, et al. Study on using intermittent chaos to detect unknown frequency signal in noise[J]. Acta Metrological Sinica, 2019, 40(3):472-476.
[19]	李珍, 廉新宇. 混沌理论在船舶辐射噪声特征提取中的应用[J]. 舰船科学技术, 2017, 39(20):28-30.
	Li Zhen, Lian Xinyu. The application of chaos theory in the ship radiated noise feature extraction[J]. Ship Science and Technology, 2017, 39(20):28-30.