Research Status and Development Trends of Foreign Submarine Detection Technologies
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摘要: 潜艇的最大威胁在于其隐蔽性, 随着近年来潜艇降噪技术的发展及电子对抗烈度的增强, 提升潜艇探测的手段与能力日益迫切。文中综述了潜艇噪声、磁场、尾流、重力场等工作特性和典型作战模式, 阐述了不同探潜平台、探测方式的优势和不足, 归纳了声学探测、磁异探测等方法的发展现状和国外典型型号; 从抗干扰能力、实时数据处理及信息融合、无人系统协同及自主决策等方面分析了潜艇探测的关键技术, 分析表明新质探测手段与多源信息融合相结合可有效提升探测能力, 而无人系统协同、自主决策等能力的发展可能成为探潜模式转变的突破口, 可为未来潜艇探测领域的发展攻关提供一定的参考。Abstract: The primary threat of submarines stems from their concealment. In recent years, with the advancement of submarine noise reduction technologies and the intensification of electronic countermeasures, enhancing submarine detection methods and capabilities has become increasingly urgent. This paper reviews the operational characteristics (including noise, magnetic field, wake, and gravitational field) and typical combat modes of submarines, expounds on the advantages and limitations of different anti-submarine platforms and detection approaches, and summarizes the development status of detection methods (such as acoustic detection and magnetic anomaly detection) as well as representative foreign models. It analyzes the key technologies for submarine detection from three aspects: anti-jamming capability, real-time data processing and information fusion, and unmanned system collaboration and autonomous decision-making. The analysis indicates that the integration of new-type detection means with multi-source information fusion can effectively improve detection performance, while the development of capabilities like unmanned system collaboration and autonomous decision-making may serve as a breakthrough for the transformation of anti-submarine modes. This study provides valuable references for future research and development efforts in the field of submarine detection.
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Key words:
- submarine /
- detection /
- sonar /
- magnetic detector
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表 1 潜艇作战模式
Table 1. Operational mode of submarine
作战模式 作战特点 优势 不足 典型应用场景 单艇作战 独立执行任务 灵活性高, 隐蔽性强 资源有限, 无法同时应对多目标 侦察、伏击、突袭 编队作战 多艘潜艇协同作战 包围攻击, 提高作战效率 指挥协调复杂, 隐蔽性降低 对敌方舰队进行全面打击 与水面舰艇协同 潜艇与水面舰艇协同作战 结合火力与隐蔽性, 形成多层次作战 协同作战复杂, 隐蔽性受影响 对敌方舰队进行联合打击 与空中平台协同 潜艇与空中平台协同作战 实现快速侦察与精确攻击 空中平台可能暴露作战位置 快速反应与精确打击 与岸基平台协同 潜艇与岸基平台协同作战 可提供长期监视及战略支援 监控范围有限, 通信受限 战略层面的持续监控与支援 表 2 舰艇探测平台概况
Table 2. Overview of shipborne detection platforms
平台类型 探测
范围探测
精度优势 不足 探测方式 空基平台 广 中等 隐蔽性高, 机动性强, 覆盖范围广, 适合大面积快速搜索。 探测深度有限, 受天气条件(如风浪、云层)影响较大, 维护和运营成本高。 通过雷达、声呐浮标、磁性探测器)等传感器探测。 陆基平台 有限 高 隐蔽性高, 探测范围固定, 成本低, 适合防御性作战, 用于特定海域长期监控。 探测范围受限于传感器的布置位置, 易受地理环境(如海底地形、洋流)影响。 通过固定或移动的声呐阵列、雷达等设备探测。 水面舰艇 中等 中等 具备较强的机动性, 能够快速接近目标, 并执行搜攻一体化操作。 隐蔽性低, 适合近距离探测与攻击, 探测深度和精度受限于舰载声呐的性能。 通过舰载声呐、雷达、磁性探测器等设备探测潜艇。 水下平台 中等 高 探测精度高, 适合中近距离作战。能够执行长时间的水下任务。 舰艇水下对水下作战, 攻击后丧失隐蔽性, 机动性较差, 难以快速响应多目标, 维护成本较高。 可采用UUV, 或水中布放声呐、磁探仪, 通过水下传感器探测潜艇。 -
[1] 王堂屹. 探潜技术发展新方向的研究[J]. 中国科技纵横, 2021(23): 163-165.Wang Tangyi. Research on the new development direction of submarine exploration technology[J]. China Science & Technology Overvie, 2021(23): 163-165. [2] 张石磊, 左平洋, 刘柳等. 探潜无人机技术发展概况及关键技术分析[J]. 飞航导弹, 2016(6): 18-21. doi: 10.16338/j.issn.1009-1319.2016.06.04Zhang Shilei, Zuo Pingyang, Liu Liu, et al. Overview of the technological development and analysis of key technologies for underwater exploration UAVs[J]. Aerodynamic Missile Journal, 2016(6): 18-21. doi: 10.16338/j.issn.1009-1319.2016.06.04 [3] 董鹏, 付敏飞, 周野等. 美国攻击型核潜艇发展研究[J]. 舰船科学技术, 2023, 45(21): 217-221.Dong Peng, Fu Min-fei, Zhou Ye, et al. American nuclear-powered attack submarine[J]. Ship Science and Technology, 2023, 45(21): 217-221. [4] 刘辉. 基于感应磁场的潜艇磁异常计算模型[J]. 水下无人系统学报, 2018, 26(2): 152-156. doi: 10.11993/j.issn.2096-3920.2018.02.009Liu Hui. Magnetic anomaly calculation model of submarine based on induced magnetic field[J]. Journal of Unmanned Undersea Systems, 2018, 26(2): 152-156. doi: 10.11993/j.issn.2096-3920.2018.02.009 [5] 伍浩松, 杨鹏. 美海军即将测试新型超静音核潜艇推进装置[J]. 国外核新闻, 2024(5): 10-10.Wu Haosong, Yang Peng. U. S. Navy to test new ultra-quiet nuclear submarine propulsion[J]. Foreign Nuclear News, 2024(5): 10-10. [6] 尤岳, 周涛, 陈科等. 水下无人航行器探潜能力建模与仿真分析[J]. 舰船科学技术, 2021, 43(19): 66-71.You Yue, Zhou Tao, Chen Ke, et al. Submarine detection modeling and simulation of unmanned underwater vehicle[J]. Ship Science and Technology, 2021, 43(19): 66-71. [7] 成建波, 孙心毅. 航空磁异常探潜技术发展综述[J]. 声学与电子工程, 2018(3): 46-49.Cheng Jianbo, Sun Xinyi. Review of the development of aerial magnetic anomaly technology for underwater target detection[J]. Acoustics and Electronics Engineering, 2018(3): 46-49. [8] 国妍, 王江安. 光电探测在探潜方面的发展分析[J]. 舰船科学技术, 2002, 24(4): 42-45.Guo Yan, Wang Jiangan. Development analysis of optoelectronic detection in underwater target detection[J]. Ship Science and Technology, 2002, 24(4): 42-45. [9] 于龙. 红外成像仪用于探潜技术的研究[J]. 红外, 2004(4): 31-35. doi: 10.3969/j.issn.1672-8785.2004.04.006Yu Long. Research on infrared imagers applied to underwater target detection technology[J]. INFRARED, 2004(4): 31-35. doi: 10.3969/j.issn.1672-8785.2004.04.006 [10] 王建华, 赵浩淞. 机载红外探潜系统综述[J]. 激光与红外, 2013, 43(6): 599-603. doi: 10.3969/j.issn.1001-5078.2013.06.001Wang Jianhua, Zhao Haosong. Survey of airborned infrared system for submarine detection[J]. Laser & Infrared, 2013, 43(6): 599-603. doi: 10.3969/j.issn.1001-5078.2013.06.001 [11] 康乐, 孙宝三, 张维利等. 潜艇水声对抗航空声呐作战效能仿真研究[J]. 指挥控制与仿真, 2023, 45(3): 17-24.Kang Le, Sun Baosan, Zhang Weili, et al. Research on submarine underwater acoustic effectiveness against airborne sonar[J]. Command Control & Simulation, 2023, 45(3): 17-24. [12] 丛红日, 郭晏宗, 杨斌等. 反潜直升机使用吊放声呐持续跟踪潜艇作战使用方法及其效能仿真[J]. 海军航空工程学院学报, 2020, 35(3): 253-260.Cong Hongri, Guo Yanzong, Yang Bin, et al. Incessant scouting submarine method and effectiveness evaluation of anti-submarine helicopter with dipping sonar[J]. Journal of Naval Aeronautical and Astronautical University, 2020, 35(3): 253-260. [13] 曹涛. 国外主动声呐装备发展及关键技术研究[J]. 声学与电子工程, 2023(4): 50-54.Cao Tao. Research on the development and key technologies of foreign active sonar equipment[J]. Acoustics and Electronics Engineering, 2023(4): 50-54. [14] 鲜勇, 鲁宏捷, 李佳庆等. 国外航空声呐浮标发展综述[J]. 电光与控制, 2019, 26(8): 67-70. doi: 10.3969/j.issn.1671-637X.2019.08.013Xian Yong, Lu Hongjie, Li Jiaqing, et al. A review on development of foreign aviation sonobuoys[J]. Electronics Optics & Control, 2019, 26(8): 67-70. doi: 10.3969/j.issn.1671-637X.2019.08.013 [15] Taylor C M, Maskell S, Ralph J F. Using hybrid multiobjective machine learning to optimise sono-buoy placement patterns[J]. IET Radar, Sonar&Navigation, 2023, 17(3): 374-387. [16] 刘东涛, 黄赓. 新型舰用共形阵声呐性能分析[J]. 声学与电子工程, 2017(2): 13-16.Liu Dongtao, Huang Geng. Performance analysis of a new type of shipborne conformal array sonar[J]. Acoustics and Electronics Engineering, 2017(2): 13-16. [17] 唐百胜, 韩雪建. 被动拖曳线列阵声呐探测性能影响因素分析[J]. 电声技术, 2024, 48(6): 1-7, 11.TANG Baisheng, HAN Xuejian. Analysis on performance influencing factors of passive towed linear array sonar[J]. Audio Engineering, 2024, 48(6): 1-7, 11. [18] 赵培聪. 国外声呐技术研究现状与发展趋势[J]. 现代雷达, 2016, 38(8): 20-24, 69.ZHAO Peicong. Research status and development trends of foreign sonar technology[J]. Modern Radar, 2016, 38(8): 20-24, 69. [19] Shepherd A. Ultra maritime partners with anduril for new XLUUV sensing capability[J]. Inside the navy, 2025(15): 38. [20] 刘莎. 装载于美国P-8A反潜机平台的无人机磁探能力分析[J]. 舰船电子工程, 2022, 42(7): 166-168.Liu Sha. Analysis of the UAV magnetic exploration capability loaded on the U. S. P-8A anti-submarine aircraft platform[J]. Ship Electronic Engineering. 2022, 42(7): 166-168. [21] 董鹏, 孙哲, 邹念洋等. 国外磁探潜装备现状及发展趋势[J]. 舰船科学技术, 2018, 40(11): 166-169.Dong Peng, Sun Zhe, Zou Nianyang, et al. The situation and development trend of foreign magnetic exploration submarine equipment[J]. Ship Science and Technology, 2018, 40(11): 166-169. [22] 张朝阳, 刘济民, 杨林等. 磁探潜关键技术现状及发展趋势[J]. 科学技术与工程, 2022, 22(1): 18-27.Zhang Zhao-yang, Liu Ji-min, Yang Lin, et al. Situation and development trend of the key technology of magnetic submarine exploration[J]. Science Technology and Engineering, 2022, 22(1): 18-27. [23] 寇军, 康海霞, 杨然等. 原子磁力仪的空间应用及发展趋势[J]. 导航与控制, 2018, 17(6): 23-27.Kou Jun, Kang Hai-xia, Yang Ran, et al. Space application and development of atomic magnetometer[J]. Navigation and Control, 2018, 17(6): 23-27. [24] Boto E, Tierney T M, Holmes N, et al. Wearable brain-magnetometer mapping of human brain function[J]. Nature, 2022, 604(7906): 656-661. [25] Kominis I K, Kornack T W, Allred J C, et al. A subfemtotesla multichannel atomic magnetometer[J]. Nature, 2003, 422(6932): 596-599. doi: 10.1038/nature01484 [26] Seltzer S J, Romalis M V. Unshielded three-axis vector operation of a spin-exchange-relaxation-free atomic magnetometer[J]. Applied Physics Letters, 2004, 85(20): 4804-4806. doi: 10.1063/1.1814434 [27] 宗昕冉, 陈海军. 原子磁力仪的研究进展与发展趋势[J]. 激光与光电子学进展, 2025, 62(07).Zong Xinran, Chen Haijun. Research progress and development trend of atomic magnetometers[J]. Laser and Optoelectronics Progress, 2025, 62(07). [28] 刘腾蛟, 王丹, 刘金国等. 潜艇非声探测技术综述[J]. 水下无人系统学报, 2023, 31(4): 521-526.Liu Tengjiao, Wang Dan, Liu Jinguo. Review of non-acoustic detection technologies of submarines[J]. Journal of Unmanned Undersea Systems, 2023, 31(4): 521-526. [29] Zhang Zhiqiang, Shi Jian, Zhang Yu, et al. Feasibility analysis of submarine detection method Based on the airborne gravity gradient[C]//2018 37th Chinese Control Conference: CCC 2018, Wuhan, China, 2018: 4587-4591. [30] 吕斯琪. 潜艇尾流及海面映波的探测方法研究[D]. 哈尔滨工业大学, 2022: 1–118. [31] Jia Yan, Liu Shuyi, Liu Yongqing, et al. Echo-level SAR imaging simulation of wakes excited by a submerged body[J]. Sensors, 2024, 24(4): 19. [32] 衣志航. 广域海面潜艇目标探测识别与融合跟踪方法的研究[D]. 哈尔滨工业大学, 2020: 1–126. [33] 王伟, 于福建, 张峻铭等. 基于云计算的探潜信息综合处理系统建设研究[J]. 数字海洋与水下攻防, 2022, 5(1): 80-85.Wang Wei, Yu Fujian, Zhang Junming. Construction research on integrated processing system of anti-submarine detection information based on cloud[J]. Digital Ocean& Underwater Warfare, 2022, 5(1): 80-85. [34] 赵绪明, 葛先军, 刘倩等. 舰艇编队功能反潜体系的构建与评估[J]. 海军航空工程学院学报, 2012(4): 464-468.Zhao Xuming, Ge Xianjun, Liu Qian, et al. Construction and evaluation of a functional anti-submarine system for warship formations[J]. Journal of Naval Aeronautical and Astronautical University, 2012(4): 464-468. [35] 王宁, 梁晓龙, 张佳强等. 跨域无人集群协同反潜搜索方法研究[J]. 系统仿真学报, 2024, 36(4): 817-824.Wang Ning, Liang Xiaolong, Zhang Jiaqiang, et al. Research on cross-domain unmanned swarm cooperative anti-submarine search method[J]. Journal of System Simulation, 2024, 36(4): 817-824. [36] 张延厚, 王超, 张奇, 等. 水声目标探测和识别融合技术发展综述[J]. 信号处理, 2023, 39(10): 1711-1727.Zhang Yanhou, Wang Chao, Zhang Qi, et al. A review of underwater acoustic target detection and recognition technology based on information fusion[J]. Journal of Signal Processing, 2023, 39(10): 1711-1727. [37] Wang Biao, Wu Chengxi, Zhu Yunan, et al. Ship radiated noise recognition technology based on ML-DS decision fusion[J]. Computational Intelligence and Neuroscience, 2021, 2021: 8901565. doi: 10.1155/2021/8901565 [38] 郭庆昌, 王小康, 李晓东等. 无人航行器对抗敌反潜装备作战使用技术研究[J]. 数字海洋与水下攻防, 2022, 5(2): 127-132.Guo Qingchang, Wang Xiaokang, Li Xiaodong, et al. Research on operational use of UUVs against adversarial anti-submarine equipment[J]. Digital Ocean & Underwater Warfare, 2022, 5(2): 127-132. [39] 郝宇, 邱龙皓, 邹男等. 无人平台自主探测声呐的发展现状和展望[J]. 哈尔滨工程大学学报, 2021, 42(9): 1347-1354.Hao Yu, Qiu Longhao, Zou Nan, et al. Development status and the prospect of autonomous detection sonar on unmanned platforms[J]. Journal of Harbin Engineering University, 2021, 42(9): 1347-1354. [40] 白卓, 张邦楚, 朱威禹等. 反潜作战制胜机理分析及对抗模式研究[J]. 现代防御技术, 2024, 52(3): 36-47.Bai Zhuo, Zhang Bangchu, Zhu Weiyu, et al. Analysis on winning mechanism and countermeasure mode of anti-submarine warfare[J]. Modern Defense Technology, 2024, 52(3): 36-47. -

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