基于海豚whistle信号的仿生主动声纳隐蔽探测技术研究

doi:10.3969/j.issn.1000-1093.2016.05.001

兵工学报 ›› 2016, Vol. 37 ›› Issue (5): 769-777.doi: 10.3969/j.issn.1000-1093.2016.05.001

• 论文 • 下一篇

基于海豚whistle信号的仿生主动声纳隐蔽探测技术研究

殷敬伟^1，2，刘强^1，2，陈阳³，朱广平^1，2，生雪莉^1，2

(1.哈尔滨工程大学水声技术重点实验室，黑龙江哈尔滨 150001；2.哈尔滨工程大学水声工程学院，黑龙江哈尔滨 150001；3.常州大学信息科学与工程学院，江苏常州 213164）

收稿日期:2015-10-14 修回日期:2015-10-14 上线日期:2016-07-06
作者简介:殷敬伟（1980—），男，教授，博士生导师
基金资助:
总装备部预先研究项目(9140A26020314CB01001)；国家自然科学基金青年科学基金项目(11204051)；国家自然科学基金项目（61501061)；海洋工程国家重点实验室开放课题项目(1316)

Research on Bionic Active Sonar Covert Detection Technology Based on Dolphin Whistle Signal

YIN Jing-wei^1，2， LIU Qiang^1，2， CHEN Yang³， ZHU Guang-ping^1，2， SHENG Xue-li^1，2

（1.Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, Heilongjiang, China;2.College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang, China;3.School of Information Science and Engineering, Changzhou University, Changzhou 213164, Jiangsu, China)

Received:2015-10-14 Revised:2015-10-14 Online:2016-07-06

摘要/Abstract

摘要： 为解决主动声纳系统易暴露、隐蔽性差的问题，提出一种基于海豚whistle信号的仿生主动声纳隐蔽探测技术。在发射端将线性调频探测信号隐蔽在海豚whistle信号中，设计了一种主动声纳的仿生隐蔽探测信号，该信号与海洋中的海豚哨叫声十分相似，可以利用海洋中的生物环境噪声实现主动声纳的隐蔽探测。在接收端选用自适应相关器作为主动声纳的时域处理器，自适应相关器对海洋环境有较强的匹配适应能力，可以自动匹配海洋信道，有效抑制多途扩展损失，相较匹配滤波器有更高的信噪比处理增益，有助于实现远距离探测。仿真和海试结果表明，基于海豚whistle信号的仿生主动声纳隐蔽探测技术具有良好的隐蔽性和有效性。

关键词: 声学, 仿生主动声纳, 隐蔽探测, 自适应相关器, 海豚whistle信号

Abstract: To solve the poor covert of active sonar detection system, a bionic active sonar covert detection technology is proposed on the basis of dolphin whistle signals. At the transmitting terminal，the LFM signals are hidden in dolphin whistles to design an covert active sonar bionic detection signal. This signal is similar to dolphin whistles in the ocean，so we can use the biological environmental noise in the ocean to achieve active sonar covert detection. At the receiving terminal, the adaptive correlator is used as an active sonar processor. The adaptive correlator has a strong ability to match the marine environment. It can automatically match the marine channels, and reduce the multipath spreading loss effectively, thus getting higher signal-to-noise ratio processing gain than the matching filter. The adaptive correlator contributes to long-range detection. The simulation and the sea experiment proof the covertness and effectiveness of the proposed bionic active sonar covert detection technology based on dolphin whistle signals.

Key words: acoustics, bionic active sonar, covert detection, adaptive correlator, dolphin whistle signal

中图分类号:

TB566

殷敬伟，刘强，陈阳，朱广平，生雪莉. 基于海豚whistle信号的仿生主动声纳隐蔽探测技术研究[J]. 兵工学报, 2016, 37(5): 769-777.

YIN Jing-wei， LIU Qiang， CHEN Yang， ZHU Guang-ping， SHENG Xue-li. Research on Bionic Active Sonar Covert Detection Technology Based on Dolphin Whistle Signal[J]. Acta Armamentarii, 2016, 37(5): 769-777.

参考文献

［1］ Ura T, Sugimatsu H, Inoue T, et al. Estimates of bio-sonar characteristics of a free-ranging Ganges river dolphin［J］. The Journal of the Acoustical Society of America, 2006, 120(5): 3228-3228.
［2］ Au W W L, Herzing D L. Echolocation signals of wild atlantic spotted dolphin (Stenella frontalis)［J］. The Journal of the Acoustical Society of America, 2003, 113(1): 598-604.
［3］ Rasmussen M H, Wahlberg M, Miller L A. Estimated transmission beam pattern of clicks recorded from free-ranging white-beaked dolphins (Lagenorhynchus albirostris)［J］. The Journal of the Acoustical Society of America, 2004, 116(3): 1826-1831.
［4］ Capus C, Pailhas Y, Brown K, et al. Bio-inspired wideband sonar signals based on observations of the bottlenose dolphin (Tursiops truncatus)［J］. The Journal of the Acoustical Society of America, 2007, 121(1): 594-604.
［5］ Houser D, Martin S, Phillips M, et al. Signal processing applied to the dolphin-based sonar system［C］∥OCEANS 2003. San Diego, CA, US:IEEE, 2003: 297-303.
［6］ Martin S, Phillips M, Bauer E, et al. Application of the biosonar measurement tool (BMT) and instrumented mine simulators (IMS) to exploration of dolphin echolocation during free-swimming, bottom-object searches［C］ ∥OCEANS 2003.San Diego, CA, US: IEEE,2003: 311-315.
［7］ Li S, Wang D, Wang K, et al. Echolocation click sounds from

wild inshore finless porpoise (neophocaena phocaenoides sunameri) with comparisons to the sonar of riverine N. p. asiaeorientalis［J］. The Journal of the Acoustical Society of America, 2007, 121(6): 3938-3946.
［8］ Akamatsu T, Wang D, Wang K, et al. Estimation of the detection probability for Yangtze finless porpoises (neophocaena phocaenoides asiaeorientalis) with a passive acoustic method［J］. The Journal of the Acoustical Society of America, 2008, 123(6): 4403-4411.
［9］ Kimura S, Akamatsu T, Wang D, et al. Variation in the production rate of biosonar signals in freshwater porpoises［J］. The Journal of the Acoustical Society of America, 2013, 133(5): 3128-3134.
［10］ Wang Z, Fang L, Shi W, et al. Whistle characteristics of free-ranging Indo-Pacific humpback dolphins (Sousa chinensis) in Sanniang Bay, China［J］. The Journal of the Acoustical Society of America, 2013, 133(4): 2479-2489.
［11］韩笑, 殷敬伟, 郭龙祥, 等. 基于差分 Pattern 时延差编码和海豚 whistles 信号的仿生水声通信技术研究［J］. 物理学报, 2013, 62(22): 224301-1-224301-6.
HAN Xiao, YIN Jing-wei, GUO Long-xiang, et al. Research on bionic underwater acoustic communication technology based on differential Pattern time delay shift coding and dolphin whistles［J］. Acta Physica Sinica, 2013, 62(22): 224301-1-224301-6.(in Chinese)
［12］ Liu S, Qiao G, Ismail A. Covert underwater acoustic communication using dolphin sounds［J］. The Journal of the Acoustical Society of America, 2013, 133(4): EL300-EL306.
［13］惠俊英, 王连生. 自适应相关器［J］. 哈尔滨工程大学学报, 1987（1）：46-58.
HUI Jun-ying, WANG Lian-sheng. Adaptive correlator［J］. Journal of Harbin Engineering University,1987（1）：46-58.(in Chinese)
［14］李秀坤, 夏峙, 朱旭. 目标回波时频分布的几何结构图像形态特征［J］. 兵工学报, 2015, 36(1): 130-137.
LI Xiu-kun, XIA Zhi, ZHU Xu. Image morphological characteristics of geometrical structure of target echo time-frequency distribution［J］. Acta Armamentarii, 2015, 36(1): 130-137.(in Chinese)
［15］陈阳. 矢量阵宽带波束形成和自适应相关器研究［D］. 哈尔滨：哈尔滨工程大学, 2008.
CHEN Yang. Researches on wideband vector-sensor array beamforming and adaptive correlator［D］.Harbin: Harbin Engineering University, 2008.(in Chinese)
［16］惠俊英. 水下声信道［M］. 北京：国防工业出版社, 1992.
HUI Jun-ying. Marine navigation systems［M］. Beijing:National Defense Industry Press,1992.(in Chinese)

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基于海豚whistle信号的仿生主动声纳隐蔽探测技术研究

Research on Bionic Active Sonar Covert Detection Technology Based on Dolphin Whistle Signal

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