|Communications on Applied Electronics|
|Foundation of Computer Science (FCS), NY, USA|
|Volume 7 - Number 8|
|Year of Publication: 2017|
|Authors: Sonal Parmar, Upena Dalal, K. N. Pathak|
Sonal Parmar, Upena Dalal, K. N. Pathak . Detecting Ionospheric Irregularities using Empirical Mode Decomposition of TEC for IRNSS Signals, at SVNIT, Surat, India. Communications on Applied Electronics. 7, 8 ( Oct 2017), 22-29. DOI=10.5120/cae2017652703
Ionospheric scintillation effects on satellite signals is one of the major source of errors which has to be determined. Severe ionospheric scintillation causes amplitude scintillations, phase scintillations, drop in carrier to noise power ratio that may results into loss of lock of the global positioning system (GPS) receiver with a particular satellite and may interrupt various navigational and positioning services. The present study comprises of measurement of ionospheric irregularities and their effect on new Indian Regional Navigation Satellite System (IRNSS). IRNSS is India’s Navigation system similar to GPS which will provide various navigational and positioning services in Indian region. One of the IRNSS receiver is given by Indian Space Research Organization (ISRO), Ahmedabad, India to Department of Electronics Engineering, SVNIT, Surat which is located at low latitude region of India at Latitude 21° 9’ 50.19 N, and longitude 72° 47’ 1.15 E. Measurement of various Ionospheric scintillation parameters like Total electron content (TEC), vertical total electron content (VTEC), carrier to noise power ratio (C/N), elevation angle of various IRNSS satellites from IRNSS 1A to 1D is presented here. TEC Variations and detection of ionospheric scintillation instances are carried out by using Wavelet based and empirical mode decomposition analysis of captured data on 23rd September 2015 which is September Equinox period. Empirical mode decomposition decomposes signal into intrinsic mode functions (IMF) for detecting ionospheric irregularities instances using TEC data for various events like earthquake, solar storms, solar eclipse, magnetic storms, plasma bubbles etc.