[1]戴忠华,周穗华,单珊.基于小波能量谱的舰船磁异常检测算法[J].探测与控制学报,2020,42(03):14.[doi:.]
 DAI Zhonghua,ZHOU Suihua,SHAN Shan.Application Research of Wavelet Transform in Ship Magnetic Field Signal Detection [J].,2020,42(03):14.[doi:.]
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基于小波能量谱的舰船磁异常检测算法()
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《探测与控制学报》[ISSN:1008-1194/CN:61-1316/TJ]

卷:
42
期数:
2020年03
页码:
14
栏目:
出版日期:
2020-06-15

文章信息/Info

Title:
Application Research of Wavelet Transform in Ship Magnetic Field Signal Detection
文章编号:
1008-1194(2020)03-0014-06
作者:
戴忠华周穗华单珊
海军工程大学兵器工程学院,湖北 武汉 430033
Author(s):
DAI ZhonghuaZHOU Suihua SHAN Shan
Department of Weaponry Engineering,Naval University of Engineering,Wuhan 430033,China
关键词:
舰船磁场小波变换能量特征量磁异常检测
Keywords:
ship magnetic fieldwavelet transform energy detection feature magnetic anomaly detection
分类号:
TM155
DOI:
.
文献标志码:
A
摘要:
针对低信噪比下舰船磁异常检测失效问题,提出基于小波能量谱的舰船磁异常检测算法。该算法根据磁异常信号小波能量谱特点,构造了能量检测特征量,设计了随背景动态变化的检测阈值,通过判断能量检测特征量多次大于检测阈值实现对磁异常信号的检测。仿真算例表明,基于小波能量谱的舰船磁异常实时检测算在低信噪比下能够有效完成检测,当信噪比为-4 dB时,检测概率达到96.7%,实时性较好。
Abstract:
For the failure of ship magnetic anomaly detection of low SNR,a ship magnetic anomaly detection algorithm based on wavelet energy spectrum was proposed in this paper. According to the characteristics of the wavelet energy spectrum of the magnetic anomaly signal, the algorithm constructed the energy detection feature quantity, and designed the detection threshold with the background dynamic change. The detection of the magnetic anomaly signal was realized by judging the energy detection feature quantity. Which was larger than the detection threshold multiple times. The simulation data showed that the detection algorithm could effectively detect at low SNR.When the SNR was -4dB, the detection probability reached 96.7% and had a good real-time performance.

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备注/Memo

备注/Memo:
收稿日期:2019-12-23
作者简介:戴忠华(1992—),男,江西宁都人,博士研究生,研究方向:目标特性及信息感知技术。E-mail: 602024288@qq.com
更新日期/Last Update: 2020-07-15