Performance of anomalous signal detection with HMM approach in electromagneticwave observation using moving window

It is known that the detection of an anomalous electromagnetic (EM) wave radiation from the earth's crust is useful for predicting the precursor of the earthquakes. We observed the EM wave using the Extremely Low Frequency (ELF) band. Various methods for detection of an anomalous signal have be...

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Bibliographic Details
Published in2011 IEEE International Geoscience and Remote Sensing Symposium pp. 4074 - 4077
Main Authors Ito, Yoshinao, Itai, Akitoshi, Yasukawa, Hiroshi, Takumi, Ichi, Hata, Masayasu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Earthquakes
Electromagnetic scattering
Electromagnetic wave
ELF band
Geophysical measurement techniques
Ground penetrating radar
Hidden Markov models
Noise
Signal detection
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Summary:It is known that the detection of an anomalous electromagnetic (EM) wave radiation from the earth's crust is useful for predicting the precursor of the earthquakes. We observed the EM wave using the Extremely Low Frequency (ELF) band. Various methods for detection of an anomalous signal have been proposed. Those methods have some problems. We proposed the anomalous signal detection based on HMM using the amplitude density distribution of an EM wave signal, which does not contain an anomalous signal. The effective ness of HMM approach for detecting an anomalous signal is already reported. However, the relationship between an anomalous signal and an output of HMM is not considered enough. In this paper, the temporal change of acceptance probability for anomalous signals is represented to show the potential of HMM approach for a temporal anomalous signal detection.
ISBN:145771003X
9781457710032
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2011.6050127