摘要
哨声波是探测空间物理环境的重要媒介,其传播参数对于理解其波动特性至关重要.然而,目前依赖人工交互的方式提取其传播参数已难以应对大规模观测数据的挑战.为了克服该问题,本研究提出了一种新的哨声波传播参数自动提取算法.首先,采用4 s滑动时间窗处理张衡卫星ELF波段磁场数据,获得波形片段数据A;随后,利用短时傅里叶变换生成时频图B;然后,设计目标检测网络从时频图B中自动检测哨声波的时频范围C;接着,结合C和数据A获取含有哨声波的波形数据AA;再根据C对磁场波形数据AA进行自动化的去噪,得到较为纯净的哨声波波形数据AA′;然后,将AA′所对应的时间范围的高精度磁强计以及AA′数据一起输入到波矢量分析算法中得到哨声波的传播参数.最后,利用张衡一号卫星(ZH-1)2020年6月数据对该模型进行评估,结果表明,哨声波的检测准确率高达95%,自动提取的传播参数与人工提取结果的余弦相似度达到了0.99,表明其在精确度上与人工方法效果相当,可为空间电磁波传播特性的智能化分析提供新的技术支持.
Whistler waves serve as vital probes for investigating the space physical environment,with their propagation parameters being essential for understanding their wave characteristics.However,current manual extraction methods are inadequate for handling the scale of modern observational data.To address this issue,we proposes a new automatic extraction algorithm for whistler wave propagation parameters.First,a 4-second sliding time window is used to process the ELF band magnetic field data from the Zhangheng-1 satellite(ZH-1)to obtain waveform segment data A.Second,a short-time Fourier transform is applied to generate the timefrequency spectrograms B.Third,a target detection network is then employed to automatically identify the timefrequency range C of the whistler waves from the spectrograms.Fourth,C is used to isolate the corresponding whistler-containing waveform segments AA from A.Fifth,automated noise suppression based on C is performed on AA,yielding denoised waveforms AA′.Sixth,the high-precision magnetometer(HPM)to the time range of AA′,along with AA′data,are then input into a wave vector analysis algorithm to obtain the propagation parameters of the whistler waves.Finally,the model is evaluated using data from the ZH-1 from June 2020.The results indicate that the detection accuracy of whistler waves reaches 95%,and the cosine similarity between the automatically extracted propagation parameters and the manually extracted results is 0.99,demonstrating that the accuracy is comparable to that of manual methods.This approach provides new technical support for the intelligent analysis of space electromagnetic wave propagation characteristics.
作者
袁静
罗俊楠
杨德贺
王桥
刘庆杰
赵庶凡
申旭辉
刘海军
泽仁志玛
王婕
YUAN Jing;LUO JunNan;YANG DeHe;WANG Qiao;LIU QingJie;ZHAO ShuFan;SHEN XuHui;LIU HaiJun;ZEREN ZhiMa;WANG Jie(Institute of Disaster Prevention,Sanhe Hebei 065421,China;Hebei Province University Smart Emergency Application Technology Research and Development Center,Sanhe Hebei 065421,China;National Institute of Natural Hazards,Beijing 100085,China;Institute of Geophysics,China Earthquake Administration,Beijing 100081,China;National Space Science Center,the Chinese Academy of Sciences,Beijing 100190,China)
出处
《地球物理学报》
北大核心
2026年第2期469-485,共17页
Chinese Journal of Geophysics
基金
中央高校基本科研业务费研究生科技创新基金资助(ZY20240337)
民用航天技术预先研究项目(D040203)
国家民用空间基础设施陆地观测卫星共性应用支撑平台(项目代码2017-000052-73-01-001735)资助.
关键词
张衡一号卫星
哨声波
波矢量计算
奇异值分解
CSES
Whistle waves
Wave vector calculation
Singular value decomposition
