Auroral scintillation characteristics using 100 Hz sampling of global positioning system satellite signals

The study of small scale irregularities in the electron density of the ionosphere is important in the efforts of fully understanding the dynamics of the ionosphere as a whole. These small scale irregularities have adverse effects on radio signals, such as those transmitted by the Global Navigation Satellite Service (GNSS) satellites. As the signal travels through these irregularities it undergoes rapid fluctuations within the signal intensity and carrier phase, these fluctuations in the signal are known as scintillations. The study of these scintillations in GNSS signals has become a very important part of the study of the ionosphere. The Canadian High Arctic Ionospheric Network (CHAIN) has recently undergone an expansion which introduced the Septentrio PolarXs Pro GNSS receiver into eight stations in the Canadian high latitude region. Benefits of the new receiver include the ability to monitor the signal intensity and carrier phase of a GNSS satellite carrier signal at a sampling rate of 100Hz where previous receivers were only capable of rates up to 50Hz. This allows us to search for scintillation signatures at higher frequencies, which was previously impossible. This in turn will help further our understanding the generation mechanism(s) of scintillation producing irregularities. Aspects of the amplitude and phase spectra during scintillation events can be used to infer physical characteristics of the ionospheric irregularities causing the signal scintillation and generating a scintillation model. Traditionally the spectral range beyond ~15Hz of a scintillation event is considered to be noise, typically referred to as the `noise floor´. The `noise floor´ is consistently seen in the signal intensity spectrum but can be less common in the carrier phase spectrum where the power law structure continues into the higher frequency range. Little work has been done regarding the nature of the `noise floor´ due to lack of data availability in the higher frequency range- as well a prevalent interest in the clearly dominant power law. With the access to a larger spectral range an accurate look at this `noise floor´ can now be performed as well as a look at the power law seen in the high frequency range of the carrier phase spectra. Initially the `noise floor´ was thought to be the noise of the carrier signal dominating the scintillation. A comparison of the `noise floor´ after incrementally decreasing the amount of non scintillating signal showed little to no change, furthering the hypothesis that the noise floor could contain scintillation information. Raw GPS signal data sampled at 100 Hz using Septentrio PolarXs Pro GNSS receivers is used to calculate the power spectra using multiple methods: (1) short time Fourier transforms computed at one minute windows. The mean is taken around the peak of the scintillation with window sizes varying from two to twenty minutes. (2) Wavelet transform, and (3) alternative to the butterworth filter known as the wavelet detrending filter. Resultant spectra, using above method, is used to characterize the scintillation. Preliminary results using the short time Fourier transform method show the possibility of dominant frequencies within the ~20-35Hz range using a twenty minute windows surround the peak of the scintillation event in the signal intensity data. Performing the same analysis on events with a four minute surrounding window show similar results, with dominant frequencies sharpening near 22Hz and 33Hz. Initial results also suggest dominant frequencies near the 45Hz-50Hz range but these frequencies must be treated carefully as they are very close to the Nyquist frequency. These results in itself are completely new and never observed because of the sampling limitations. Possible reasons for these dominant frequencies are currently being investigated. All preceding results are for moderate to severe scintillation events. Weak scintillations show a larger spread of possible dominant frequenc