Application of Multiple Signal Classification Algorithm on GPS TEC for Earthquakes

Background/Objectives: Earthquakes are the more vulnerable disasters for mankind and are inevitable. The major objective of our work is to identify the precursors of earthquakes and analysed the precursors in ionosphere prior to the occurrence of earthquake using Global Positioning System Total Electronic Content (GPSTEC). Methods/Statistical Analysis: In this work Multiple Signal Classification algorithm (MUSIC) is explored. MUSIC estimates the frequency content of a signal or autocorrelation matrix using a Eigen space method. Findings: It is clearly observed that there is a significant raise in energy of the ionosphere on the day of earthquake occurrence. Application/Improvement: If the quality data is available before and after the occurrence of earthquake also, then it may be possible to develop the early warning system for earthquakes.