2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) 2015
DOI: 10.1109/iciiecs.2015.7192923
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Detection of ionospheric anomalies based on FFT Averaging Ratio (FAR) algorithm

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Cited by 3 publications
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“…Let a n (t) be the variation in the TEC, where the data are taken at unit sample per second. Applying FFT to the input, we get 19 1 0 ( )…”
Section: Far Algorithmmentioning
confidence: 99%
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“…Let a n (t) be the variation in the TEC, where the data are taken at unit sample per second. Applying FFT to the input, we get 19 1 0 ( )…”
Section: Far Algorithmmentioning
confidence: 99%
“…Here, different single-frequency algorithms were investigated, which eliminate the need for extra frequency used in the dual-frequency model. The NavIC/IRNSS 19 to detect ionospheric anomalies. Here, the FAR algorithm is used to identify the NavIC/IRNSS satellites, which are affected more by the ionosphere.…”
mentioning
confidence: 99%
“…Although the Fourier transform (FT) spectral parameters are useful for detecting radio anomalies [3], the Fourier domain does not exhibit any time domain characteristics, leading to suboptimal feature extraction. Short-time Fourier transform (STFT) does not yield a multiresolution analysis due to the fixed bandwidth for signal decomposition at all frequencies [4,5].…”
Section: Introductionmentioning
confidence: 99%