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ZHOU Guangyuan, WEN Wudi, ZHANG Guanghua, TU Yifan. Experimental Study on Low-Frequency Characteristics of Typical Physical Fields for Small Underwater Vehicles[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0056
Citation: ZHOU Guangyuan, WEN Wudi, ZHANG Guanghua, TU Yifan. Experimental Study on Low-Frequency Characteristics of Typical Physical Fields for Small Underwater Vehicles[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2026-0056

Experimental Study on Low-Frequency Characteristics of Typical Physical Fields for Small Underwater Vehicles

doi: 10.11993/j.issn.2096-3920.2026-0056
  • Received Date: 2026-03-20
  • Accepted Date: 2026-05-14
  • Rev Recd Date: 2026-05-07
  • Available Online: 2026-05-19
  • Current research on underwater multi-physical field detection mostly focuses on large-scale targets such as ships and submarines, while little attention has been paid to joint multi-physical field detection for small underwater vehicles. To investigate the low-frequency characteristics and inter-field correlation of multi-physical fields within 100 Hz and below for small underwater vehicles, field tests were carried out in a shallow-water sheltered harbor. Signals of acoustic, electric, magnetic, pressure, seismic wave, and alternating magnetic fields were synchronously acquired. After data preprocessing and power frequency interference suppression, the time-domain passage characteristics and frequency-domain line spectrum features of each physical field were analyzed, and the coupling characteristics of multi-physical fields were discussed. The results show that the electric field and magnetic field exhibit strong correlation and common-source characteristics, and the alternating magnetic field contains richer target feature information. The frequency-domain characteristics of the acoustic field and seismic wave field are highly consistent, and the seismic wave field is significantly superior to the water pressure field in resisting marine environmental interference. This study analyzes the typical low-frequency multi-physical field characteristics and coupling laws of small underwater vehicles, which can provide experimental support for joint multi-physical field detection and recognition of underwater small targets.

     

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  • [1]
    康帅, 俞建成, 张进. 微小型自主水下机器人研究现状[J]. 机器人, 2023, 45(2): 218-237. doi: 10.13973/j.cnki.robot.210360

    Kang S, Yu J C, Zhang J. Research status of micro autonomous underwater vehicles[J]. Robot, 2023, 45(2): 218-237. doi: 10.13973/j.cnki.robot.210360
    [2]
    戴忠华, 周穗华, 单珊. 舰船地震波信号的小波能量谱检测算法[J]. 信号处理, 2020, 36(3): 345-351. doi: 10.16798/j.issn.1003-0530.2020.03.004

    Dai Z H, Zhou S H, Shan S. Wavelet energy spectrum detection algorithm for ship seismic wave signals[J]. Journal of Signal Processing, 2020, 36(3): 345-351. doi: 10.16798/j.issn.1003-0530.2020.03.004
    [3]
    李环, 迟秀秀. 浅海舰船地震波识别方法研究[J]. 沈阳理工大学学报, 2018, 37(6): 61-68. doi: 10.3969/j.issn.1003-1251.2018.06.012

    Li H, Chi X X. Research on identification method of shallow sea ship seismic waves[J]. Journal of Shenyang Ligong University, 2018, 37(6): 61-68. doi: 10.3969/j.issn.1003-1251.2018.06.012
    [4]
    郭雪峰. 浅海环境下水下航行器诱发地震波近远场演变特性研究[D]. 哈尔滨工程大学, 2025: 60-67.
    [5]
    Zhang J W, Yu P , Jiang R X, et al. Real-time localization for underwater equipment using an extremely low frequency electric field[J]. Defence Technology, 2023, 26(8): 203-212.
    [6]
    蒋泽坤, 高俊奇, 沈莹, 等. 水下未爆弹无人电磁探测装备研究现状与展望[J/OL]. 哈尔滨工程大学学报, 1-14[2026-05-14]. https://link.cnki.net/urlid/23.1390.U.20260115.1317.004.

    Jiang Z K, Gao J Q, Shen Y, et al. Re-search status and prospect of unmanned electromagnetic detection equipment for underwater unexploded ordnance[J/OL]. Journal of Harbin Engineering University, 1-14[2026-05-14]. https://link.cnki.net/urlid/23.1390.U.20260115.1317.004.
    [7]
    程锦房, 喻鹏, 张伽伟, 等. 水下电场探测定位技术应用研究现状[J]. 海军工程大学学报, 2022, 34(4): 68-74.

    Cheng J F, Yu P, Zhang J W, et al. Application research status of underwater electric field detection and location technology[J]. Journal of Naval University of Engineering, 2022, 34(4): 68-74.
    [8]
    王翔津, 张建生, 王新彤, 等. 水下航行器尾流感应电磁场分布特性研究[J]. 水下无人系统学报, 2025, 33(6): 956-962.

    Wang X J, Zhang J S, Wang X T, et al. Study on distribution characteristics of induced electromagnetic field in wake of under-water vehicles[J]. Journal of Unmanned Undersea Systems, 2025, 33(6): 956-962.
    [9]
    周超, 王庆胜, 李卓禹. 外军水下特种作战装备体系研究[J]. 数字海洋与水下攻防, 2020, 3(1): 52-57.

    Zhou C, Wang Q S, Li Z Y. Research on foreign military underwater special operations equipment system[J]. Digital Ocean and Underwater Offense & Defense, 2020, 3(1): 52-57.
    [10]
    文苗青, 马晓光, 孙兆龙, 等. 典型水下滑翔机电场噪声特征分析[J]. 舰船科学技术, 2025, 47(7): 99-104. doi: 10.3404/j.issn.1672-7649.2025.07.019

    Wen M Q, Ma X G, Sun Z L, et al. Characteristic analysis of electric field noise of typical underwater gliders[J]. Ship Science and Technology, 2025, 47(7): 99-104. doi: 10.3404/j.issn.1672-7649.2025.07.019
    [11]
    王宇扬, 计方, 鹿绍庆, 等. 基于多物理场的海洋智能无人装备探测研究现状[J]. 水下无人系统学报, 2024, 32(6): 1131-1140.

    Wang Y Y, Ji F, Lu S Q, et al. Research status of detection for marine intelligent unmanned equipment based on multi-physical fields[J]. Journal of Unmanned Undersea Systems, 2024, 32(6): 1131-1140.
    [12]
    Gui H S, Yu G L. Numerical simulation and analysis of electromagnetic fields induced by a moving ship based on a three-layer geoelectric model[J]. Journal of Ocean University of China, 2020, 19(6): 1299-1306. doi: 10.1007/s11802-020-4335-2
    [13]
    陈连杰. 水下电推进器用新型低噪声永磁同步电机设计[J]. 兵器装备工程学报, 2022, 43(2): 235-241. doi: 10.11809/bqzbgcxb2022.02.037

    Chen L J. Design of a new low-noise permanent magnet synchronous motor for underwater electric thruster[J]. Journal of Ordnance Equipment Engineering, 2022, 43(2): 235-241. doi: 10.11809/bqzbgcxb2022.02.037
    [14]
    俞炜. 浅海中水下航行器激发的舰船地震波传播特性研究[D]. 重庆交通大学, 2025: 81-83.
    [15]
    张磊, 刘彦森, 刘鹏. 小型水下电推进航行器低频辐射噪声特性试验研究[J]. 船舶力学, 2023, 27(8): 1117-1126.

    Zhang L, Liu Y S, Liu P. Experimental study on low-frequency radiated noise characteristics of small underwater electric propulsion vehicles[J]. Journal of Ship Mechanics, 2023, 27(8): 1117-1126.
    [16]
    Lan C F, Yu Z L, Chen H, et al. Research on underwater collaborative detection method based on complex marine environment[J]. IEEE Access, 2024, 12: 3464-3475. doi: 10.1109/ACCESS.2023.3348782
    [17]
    姜润翔, 王嘉睿, 马晓光, 等. 舰船水下物理场低频特征相关性分析[J]. 海军工程大学学报, 2025, 37(3): 88-93. doi: 10.7495/j.issn.1009-3486.2025.03.014

    Jiang R X, Wang J R, Ma X G, et al. Correlation analysis of low-frequency characteristics of ship underwater physical fields[J]. Journal of Naval University of Engineering, 2025, 37(3): 88-93. doi: 10.7495/j.issn.1009-3486.2025.03.014
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