一种气泡背景下目标检测算法

吴 双; 杨长生; 梁 红

doi:10.11993/j.issn.1673-1948.2015.04.005

一种气泡背景下目标检测算法

doi: 10.11993/j.issn.1673-1948.2015.04.005

西北工业大学航海学院, 陕西西安, 710072

基金项目: 国家自然科学基金(61201322)、(61379007), 中央高校基本科研业务费专项资金(3102015ZY015)

详细信息

作者简介:
吴双(1990-), 女, 在读硕士, 研究方向为水下信号与信息处理.

中图分类号: TJ630.34; TB56
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- 文章访问数: 768
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- 被引次数: 0
出版历程
- 收稿日期: 2015-06-02
- 修回日期: 2015-06-23
- 刊出日期: 2015-08-20

An Algorithm of Target Detection in Bubbly Water

School of Marine Science and Technology, Northwestern Polytechnical University, Xi′an 710072, China

摘要

摘要: 研究发现, 海豚在气泡背景下检测目标的能力优于人工声呐。基于海豚在搜索目标时发射的信号都是脉冲串的形式, 且有些信号的相邻2个脉冲相位相反。文中采用Keller-Miksis方程的气泡模型, 使用相位相反的仿海豚喀啦脉冲对, 利用双反脉冲声呐(TWIPS)研究了其在气泡背景下探测目标的有效性, 并将其与标准声呐处理进行对比。仿真结果表明, 对于文中采用的气泡云分布, 利用TWIPS探测线性目标时其性能优于标准声呐处理的性能。
- 气泡 /
- 目标检测 /
- Keller-Miksis方程 /
- 双反脉冲声呐
Abstract: It is quite difficult to detect targets using man-made sonar due to the existance of bubbles, while researches indicate that dolphins outperform man-made sonar in detecting targets in bubbly water. The signals emitted by dolphins are in the form of pulse sequences, and some of two adjacent pulses are of inverted phase. In this study, the bubble model of Keller-Miksis equation and the twin inverted pulse sonar(TWIPS) are used to investigate the effectiveness of target detection of the dolphin-like clicking sound pulse pair with inverted phase in bubbly water. Furthermore, the performances are compared between TWIPS and standard sonar. Simulation results show that for the detection of linear target, TWIPS behaves better than the standard sonar in given bubble cloud distribution.
- bubbles /
- target detection /
- Keller-Miksis equation /
- twin inverted pulse sonar(TWIPS)

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参考文献(8)

[1]	马青山, 陈亚林, 郝保安, 等. 舰船远尾流场气泡特性研究[J]. 鱼雷技术, 2014, 22(4): 311-315. Ma Qing-shan, Chen Ya-lin, Hao Bao-an, et al. Study on Bubble Characteristics of Ship Far Wake Field[J]. Torpedo Technology, 2014, 22(4): 311-315.
[2]	张群, 王英民. 尾流中多气泡模型及有限元分析[J]. 鱼雷技术, 2014, 22(4): 316-320. Zhang Qun, Wang Ying-min. Multi-bubble Models in Ship Wake and Finite Element Analysis[J]. Torpedo Technology, 2014, 22(4): 316-320.
[3]	Capus C, Pailhas Y, Brown K, et al. Bio-inspired Wideband Sonar Signals Based on Observations of the Bottle-nose Dolphin(Tursiops truncatus)[J]. The Journal of the Acoustical Society of America, 2007, 121(1): 594-604.
[4]	Leighton T G, White P R, Finfer D C. Contrast Enhancement Between Linear and Nonlinear Scatterers: U.S. Patent Application 11/917,990[P]. 2004-6-26.
[5]	Leighton T. The Acoustic Bubble[M]. London, UK: Academic Press, 1994.
[6]	吴双, 杨长生, 梁红. 仿生信号的气泡后向散射仿真分析[J]. 声学技术, 2014, 33(4): 411-414. Wu Shuang, Yang Chang-sheng, Liang Hong. Simulation Analysis of Bubbles Backscatter of Bionic Signals[J]. Technical Acoustics, 2014, 33(4): 411-414.
[7]	Leighton T G, Finfer D C, Chua G H, et al. Clutter Suppression and Classification Using Twin Inverted Pulse Sonar in Ship Wakes[J]. The Journal of the Acoustical So- ciety of America, 2011, 130(5): 3431-3437.
[8]	Leighton T G, Finfer D C, White P R, et al. Clutter Suppression and Classification Using Twin Inverted Pulse Sonar(TWIPS)[J]. Royal Society of London Proceedings Series A, 2010, 466: 3453-3478.