基于大数据技术的舰船磁场异常信号粗提取  

Rough extraction of abnormal signal of ship magnetic field based on big data technology

作　　者：李江涛[1] LI Jiang-tao(Department of Mathematics and Information Engineering,Puyang Vacational Technollogy College,Puyang 457000,China)

机构地区：[1]濮阳职业技术学院数学与信息工程学院,河南濮阳457000

出　　处：《舰船科学技术》2021年第14期157-159,共3页Ship Science and Technology

摘　　要：舰船磁场异常阈值滤波的幅度特征不一,导致异常信号粗提取信噪比值过低。基于此,提出基于大数据技术的舰船磁场异常信号粗提取方法。基于大数据技术设计舰船磁场异常信号粗提取方法,分解舰船异常信号,并从重构的分解异常信号中提取异常特征值。在此基础上,对磁场异常阈值进行滤波识别,对磁场异常阈值滤波的幅度特征进行整合,获取舰船磁场异常信号。至此,完成基于大数据技术的舰船磁场异常信号粗提取方法设计。分析实验结果:采用基于大数据技术的舰船磁场异常信号粗提取方法异常信号粗提取的信噪比值最高为-3 dB,表明所提方法异常信号粗提取效果较好。The amplitude characteristics of threshold filtering of ship magnetic field anomaly are different,which leads to the low signal-to-noise ratio of rough extraction of abnormal signal.Based on this,a rough extraction method of ship magnetic field anomaly signal based on big data technology is proposed.Based on big data technology,a rough extraction method of ship magnetic field abnormal signal is designed,which decomposes the ship abnormal signal and extracts the abnormal eigenvalues from the reconstructed decomposed abnormal signal.On this basis,the magnetic anomaly threshold is filtered and identified,and the amplitude characteristics of magnetic anomaly threshold filtering are integrated to obtain the ship magnetic anomaly signal.So far,the design of rough extraction method of ship magnetic field anomaly signal based on big data technology is completed.Analysis of the experimental results:Based on the big data technology of ship magnetic field abnormal signal rough extraction method,the highest signal-to-noise ratio of abnormal signal rough extraction is-3 dB,which shows that the proposed method is better.

关 键 词：大数据技术 舰船 磁场异常 信号粗提取 

分 类 号：TM155[电气工程—电工理论与新技术]