Title :
The precursor signal detection from electromagnetic waves for predicting great earthquakes using Kalman filter
Author :
Niwa, Shinji ; Yasukawa, Hiroshi ; Takumi, Ichi ; Hata, Masayasu
Author_Institution :
Aichi Prefectural Univ., Japan
Abstract :
The tectonic activities that precede significant earthquakes release electromagnetic (EM) waves that can be used as earthquake precursors. We have been observing EM radiation in the extremely low frequency band at over 40 observation stations in Japan for predicting significant earthquakes. However, the recorded signals contain several noise components generated from the ionosphere, human activity, and so on. Most background noise in observed signal is attributed to lightning in the tropics. In this paper, we introduce a state space model and Kalman filter to reduce the noise. The good performance of the proposed model is confirmed.
Keywords :
Kalman filters; earthquakes; electromagnetic wave propagation; geophysical techniques; lightning; noise; signal detection; smoothing methods; tectonics; EM radiation; Japan; Kalman filter; background noise; earthquake; electromagnetic waves; human activity; ionosphere; lightning; noise components; precursor signal detection; state space model; tectonic activities; Earthquakes; Electromagnetic radiation; Electromagnetic scattering; Frequency; Humans; Ionosphere; Low-frequency noise; Noise generators; Signal detection; Signal generators;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1294873
