Clustering of EM radiation source based on eigenvector
Clustering of EM radiation source based on eigenvector
复制标题
基于特征向量的电磁辐射源聚类
DOI：
10.1109/igarss.2002.1026718
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
H. Yasukawa
中科院分区：
文献类型：
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作者：
I. Takumi;Shuhei Murakami;Akio Shimura;M. Hata;H. Yasukawa
我们的目标是定位地震活动引起的异常电磁（EM）源的地震预报。为此，我们在日本的35个地点测量了223Hz的电磁波。观测信号中含有大量的噪声，这些噪声主要来自赤道附近的闪电、人类活动、近场闪电等，利用多点观测中的相关性可以消除远源电磁噪声。但近场噪声不易消除。本文证明了测量信号协方差矩阵的主成分分析方法对信号聚类和源分离是有效的。结果表明，用该方法估算近场雷闪位置的结果与雷达观测到的真实的雷暴云相吻合。并给出了地震前后电磁辐射异常源的估算结果。
Our goal is to locate anomalous electromagnetic (EM) sources caused by seismic activity for earthquake prediction. For the purpose, we have measured the EM wave of 223Hz at 35 sites in Japan. The measured signal contains much noise caused by lightning around the equator, human activity, near field lightning and so on. EM noises from far sources can be eliminated by using correlation in multi-point observation. But near-field noise is not easy to eliminate. This paper shows that the principal component analysis methods for covariance matrices of measured signals are effective for clustering signals and separating each source. It is shown that a result to estimate thunder lightning location in near field agrees with real thundercloud observed by radar system. And results of estimation of sources of anomalous EM radiation occurred before and after earthquake are also shown.