水下主动声引信回波集成检测方法

胡 桥; 白志科; 朱 建; 王 玮; 肖素娟

doi:10.11993/j.issn.1673-1948.2012.02.005

水下主动声引信回波集成检测方法

doi: 10.11993/j.issn.1673-1948.2012.02.005

胡桥^1,2,
白志科²,
朱建²,
王玮²,
肖素娟²

1.
水下信息与控制重点实验室, 陕西西安, 710075
2.
中国船舶重工集团公司第705研究所, 陕西西安, 710075

基金项目: 陕西省科学技术研究发展计划资助(2010KJXX-09)

详细信息

作者简介:
胡桥(1977-), 男, 博士后, 高工, 研究方向为现代信号处理、水声目标检测、智能识别及系统工程.

中图分类号: TJ431.7; TN911.7
计量
- 文章访问数: 963
- HTML全文浏览量: 1
- PDF下载量: 619
- 被引次数: 0
出版历程
- 收稿日期: 2011-05-23
- 修回日期: 2011-06-08
- 刊出日期: 2012-04-20

Integrated Detection Method of Active Underwater Acoustic Fuze Echo

1.
Science and Technology on Underwater Information and Control Laboratory, Xi′an 710075, China
2.
The 705 Re-search Institute, China Shipbuilding Industry Corporation, Xi′an 710075, China

摘要

摘要: 针对水下主动声引信在复杂的自然干扰下难以准确检测的问题, 结合目标回波信号与混响等干扰的各种宏观和微观信息, 一方面利用改进的经验模式分解方法对引信系统接收的原始信号进行处理, 得到不同模态的本征模式分量, 以实现目标回波与混响的分离; 另一方面利用本征模式分量得到瞬时频率方差检测统计量和能量检测统计量, 将瞬时频率方差检测统计量和能量检测统计量进行组合, 构建集成检测器, 实现对水下主动声引信的优化检测。试验结果表明, 与基于常规能量检测和瞬时频率方差检测方法相比, 该方法具有更好的检测性能。
- 水下主动声引信 /
- 集成检测 /
- 经验模式分解 /
- 本征模式分量 /
- 瞬时频率方差
Abstract: To accurately detect active underwater acoustic fuze in complicated natural interferences, a novel integrated detection method is proposed. In this method, macro- and micro-features of target echo signals and interferences (such as reverberation) are analyzed; the intrinsic mode functions (IMFs) from original signals received by fuze system are achieved via the improved empirical mode decomposition(EMD) approach to separate the target echo signal from the reverberation; and the statistics of variance of instantaneous frequency detection and energy detection are obtained from IMFs and are combined to form an integrated detector for optimally detecting underwater acoustic fuze. Lake tests indicate that the proposed method exhibits better performance in underwater acoustic fuze detection, compared with such commonly used detection methods as energy detection method and variance of instantaneous frequency de-tection method.
- active underwater acoustic fuze /
- integrated detection /
- empirical mode decomposition(EMD) /
- intrinstic mode function(IMF) /
- variance of instantaneous frequency

HTML全文

参考文献(11)

[1]	陈喜, 蒋涛, 李雄飞. 鱼雷主动超声引信陆上仿真及其实现[J]. 鱼雷技术, 2008, 16(5): 34-37. Chen Xi, Jiang Tao, Li Xiong-fei. Implementation of On-land Simulation of Torpedo Active Ultrasonic Fuze[J]. Torpedo Technology, 2008, 16(5): 34-37.
[2]	Chamberlain S G, Galli J C. A Model for Numerical Simula- tion of Nonstationary Sonar Reverberation Using Linear Sp- ectral Prediction[J]. IEEE Journal of Oceanic Engineering, 1983, 8(1): 21-36.
[3]	Huang N E, Shen Z, Long S R. A New View of Nonlinear Water Waves: the Hilbert Spectrum[J]. Annual Reviews of Fluid Mechanics, 1999, 31: 417-457.
[4]	Hu Q, Hao B A, Lv L X, et al. Hybrid Intelligent Detection for Underwater Acoustic Target Using EMD, Feature Dis- tance Evaluation Technique and FSVDD[C]//2008 Interna- tional Congress on Image and Signal Processing , IEEE, 2008, 5(4): 54-58.
[5]	Carmillet V, Amblard P O, Jourdain G. Detection of Phase-or Frequency-Modulated Signals in Reverberation Noise[J]. Journal of the Acoustical Society of America, 1999, 105(6): 3375-3389.
[6]	Steven M K. 统计信号处理基础——估计与检测理论[M]. 罗鹏飞, 译. 北京: 电子工业出版社, 2006.
[7]	Song H C, Hodgkiss W S, Kuperman W A. Experimental Demonstration of Adaptive Reverberation Nulling Using Time Reversal[J]. Journal of the Acoustical Society of Amer- ica, 2005, 118(3): 1381-1387.
[8]	Chambers D H, Candy J V, Lehman S K. Time Reversal and the Spatial-temporal Matched Filter[J]. Journal of the Acou- stical Society of America, 2004, 116(3): 1348-1350.
[9]	Kostylev V I. Energy Detection of A Signal with Random Amplitude[C]//IEEE International Conference on Commun- ication, Russia: Voronezh, 2002, 3(2): 1606-1610.
[10]	梁国龙.回波信号的瞬时参数序列分析及其应用研究[D].哈尔滨: 哈尔滨工程大学, 1997. Liang Guo-long. Study on Transient Parameter Sequence of Echoed Signal and Its Application[D]. Harbin: Harbin Eng- ineering University, 1997.
[11]	胡桥, 郝保安, 吕林夏, 等. 一种新的水声目标辐射噪声特征提取模型[J]. 鱼雷技术, 2008, 16(6): 38-43. Hu Qiao, Hao Bao-an, Lü Lin-xia, et al. Feature Extraction Model for Underwater Target Radiated Noise[J]. Torpedo Technology, 16(6): 38-43.