Bibliography



Notice:

  • Clicking on the title will open a new window with all details of the bibliographic entry.
  • Clicking on the DOI link will open a new window with the original bibliographic entry from the publisher.
  • Clicking on a single author will show all publications by the selected author.
  • Clicking on a single keyword, will show all publications by the selected keyword.



Found 4 entries in the Bibliography.


Showing entries from 1 through 4


2022

Creating a Database to Identify High-Latitude Scintillation Signatures With Unsupervised Machine Learning

In high latitudes, Global Navigation Satellite System (GNSS) signals experience scintillation due to moving irregularity structures in the ionosphere. These develop as a result of different physical mechanisms, which are as yet principally described on an elementary level for certain storm cases and events. Since there are years of GNSS data available from stations around the globe, we are investigating an unsupervised Machine Learning approach to extract a large variety of groups of scintillation events with similar features. We create a database containing high-rate scintillation events from two geomagnetic storm cases and several stations in the high-latitude region of the Northern hemisphere. By clustering high-rate signatures in signal phase and power according to their major signal characteristics with an agglomerative hierarchical clustering, it is possible to extract different groups of similar types of scintillation signatures. As a result of this study, the database of scintillation signatures in various locations in the auroral oval and polar cap evolves and will be further expanded beyond the storm cases studied in this paper. These can then be linked to the geomagnetic conditions and dynamics in the ionosphere through additional datasets from other instruments, therefore potentially helping us to get a further insight into the ionospheric irregularity physics.

Bals, Anna-Marie; Thakrar, Chintan; Deshpande, Kshitija;

Published by: IEEE Journal of Radio Frequency Identification      Published on:

YEAR: 2022     DOI: 10.1109/JRFID.2022.3163913

Databases; Feature extraction; Fluctuations; global navigation satellite system; GNSS data noise elimination; GNSS scintillation; Indexes; Instruments; ionospheric scintillation event detection; Radiofrequency identification; unsupervised machine learning

2015

First light from a kilometer-baseline Scintillation Auroral GPS Array

Datta-Barua, S; Su, Y; Deshpande, K; Miladinovich, D; Bust, GS; Hampton, D; Crowley, G;

Published by: Geophysical Research Letters      Published on:

YEAR: 2015     DOI:

2014

Investigation of high latitude ionospheric irregularities utilizing modeling and gps observations

Complex magnetosphere-ionosphere coupling mechanisms result in high latitude irregularities that are difficult to characterize. Until recently, the polar and auroral irregularities

Deshpande, Kshitija;

Published by:       Published on:

YEAR: 2014     DOI:

2013

Conjugate High Latitude Measurements along the 40 degree magnetic meridian: Autonomous Adaptive Low-Power Instrument Platforms on the East Antarctic Plateau

Clauer, Robert; Kim, Hyomin; Deshpande, Kshitija; Xu, Zhonghua; Fish, Chad; Musko, Steve; Crowley, Geoff; Humphreys, Todd; Bhatti, Jahshan; Bust, Grary;

Published by:       Published on:

YEAR: 2013     DOI:



  1