一种水声瞬态信号的下降沿检测方法

doi:10.12263/DZXB.20210193

电子学报 ›› 2022, Vol. 50 ›› Issue (9): 2215-2221.DOI: 10.12263/DZXB.20210193

一种水声瞬态信号的下降沿检测方法

游波¹, 蔡志明²

^1.武昌工学院电信与物联网工程系，湖北武汉 430065
^2.海军工程大学电子工程学院水声工程系，湖北武汉 430033

收稿日期:2021-02-01 修回日期:2021-05-27 出版日期:2022-09-25
- 作者简介:
- 游波女， 1976年11月出生，江苏泰州人，博士，副教授，主要研究方向水声信号处理、数字图像处理.
- 基金资助:
- 国家自然科学基金(6419014);湖北省教育厅科学技术研究计划指导性项目(B2018325);武昌工学院博士基金(2017BSJ01)

A Falling Edge Detection Method of Underwater Transient Signals

YOU Bo¹, CAI Zhi-ming²

^1.Department of Telecommunications and Internet of Things Engineering, Wuchang Institute of Technology, Wuhan, Hubei 430065, China
^2.Department of Underwater Acoustics Engineering, Naval University of Engineering, Wuhan, Hubei 430033, China

Received:2021-02-01 Revised:2021-05-27 Online:2022-09-25 Published:2022-10-26
- Supported by:
- National Natural Science Foundation of China(6419014);Science and Technology Research Project of Department of Education of Hubei Province (Guide Plan)(B2018325);Doctoral Fund of Wuchang Institute of Technology(2017BSJ01)

摘要/Abstract

摘要：

基于最大似然比准则，在高斯分布方差变化的假设下推导了水声瞬态信号累积和下降沿检测的检验统计量和非线性量的概率密度函数表达，重新利用FFT（Fast Fourier Transform）法分析了累积和性能模型，基于纽曼皮尔逊准则计算了在一定检测概率和虚警概率假设下方差和检测门限，并利用舰船转舵仿真信号、鱼雷出管仿真信号和水池重物落水实测脉动信号进行了检验.验证结果表明，相比常规方法，低信噪比下该方法对水声瞬态信号下降沿的判断精确度更高，稳健性更好.

关键词: 累积和检测, 瞬态信号检测, 被动声纳检测, 下降沿检测

Abstract:

In this paper, based on the maximum likelihood ratio(MLR) criterion, the test statistics and the probability density function of non-linearity of the Page test are derived to detect the falling edge of underwater transient signals under the assumption of variance change of Gaussian distribution. The performance of the Page test is analyzed by FFT(Fast Fourier Transform) method again. The variance and detection threshold under certain detection probability and false alarm probability are calculated based on Newman Pearson criterion. The simulation signals of ship steering, torpedo ejecting and the measured signal of heavy falling obtained in the anechoic tank are exploited to verify the algorithm. The results show that,compared with the conventional method, this method has higher accuracy and better robustness in judging the falling edge of underwater transient signal at low SNR.

Key words: Page test, transient signal detection, passive sonar detection, falling edge detection

中图分类号:

TB566

游波, 蔡志明. 一种水声瞬态信号的下降沿检测方法[J]. 电子学报, 2022, 50(9): 2215-2221.

Bo YOU, Zhi-ming CAI . A Falling Edge Detection Method of Underwater Transient Signals[J]. Acta Electronica Sinica, 2022, 50(9): 2215-2221.

图/表 13

图1 原假设下Eg随方差σ2的变化关系

图2 备择假设下Eg随方差σ2的变化关系

图3 门限随着瞬态变化长度的结果图

图4 方差随着瞬态变化长度的结果图

图5 转舵仿真信号

图6 转舵仿真信号下降沿检测效果比对

表1 不同信噪比下1000次蒙特卡洛实验两种方法平均绝对误差

信噪比	1	2	3	4	5
常规方法误差(s)	0.3579	0.2962	0.2231	0.1382	0.0635
改进方法误差(s)	0.2219	0.1467	0.0532	0.0289	0.0213

图7 鱼雷出管信号仿真

图8 鱼雷出管信号下降沿检测效果比对

表2 不同信噪比下1000次蒙特卡洛实验两种方法平均绝对误差

信噪比(dB)		-5	-4	-3	-2
盖板声下降沿误差(s)	常规方法	0.1195	0.0930	0.0568	0.0713
盖板声下降沿误差(s)	改进方法	0.0418	0.0351	0.0289	0.0175
出管声下降沿误差(s)	常规方法	0.1297	0.1046	0.0983	0.0455
出管声下降沿误差(s)	改进方法	0.0897	0.0430	0.0371	0.0267

图9 水池重物落水脉动信号

图10 水池重物落水信号下降沿检测效果比对

图11 不同信噪比下1000次蒙特卡洛实验两种方法平均绝对误差对比

参考文献 16

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一种水声瞬态信号的下降沿检测方法

A Falling Edge Detection Method of Underwater Transient Signals

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