2009 4th International Conference on Recent Advances in Space Technologies 2009
DOI: 10.1109/rast.2009.5158275
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Investigation of optimum temporal update periods for regional TEC monitoring

Abstract: Monitoring of the ionospheric variability is necessary for improving the performance of communication, navigation and positioning systems. Total Electron Content (TEC) is an important parameter since it can be used to analyze the variability of the ionosphere. Due to sparse distribution of samples, TEC can not be directly obtained everywhere on the ionosphere and accurate interpolation methods are needed for generating TEC maps. The optimum temporal update period (TUP) for regional Total Electron Content (TEC)… Show more

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“…Longer run times may not be acceptable, because the ionosphere is a time-varying medium. Its structure may dramatically change during long run times [27][28][29].…”
Section: Introductionmentioning
confidence: 99%
“…Longer run times may not be acceptable, because the ionosphere is a time-varying medium. Its structure may dramatically change during long run times [27][28][29].…”
Section: Introductionmentioning
confidence: 99%
“…The temporal update period (TUP) of consecutive TEC maps (time between consecutive TEC maps) is an important parameter in regional and global monitoring of ionospheric variability. The optimum TUP should be sufficiently small to capture the significant variations in the underlying physics of the ionosphere; however, it should be sufficiently large to allocate computational and storage resources efficiently [ Erol and Arikan , 2005; Akdogan et al , 2007; Sayin et al , 2009]. Typically, TEC maps are produced at time intervals that do not necessarily capture the variability of regional ionospheres.…”
Section: Introductionmentioning
confidence: 99%
“…Investigation of a regional wide sense stationarity (WSS) period can be considered a practical solution in optimizing the TUP [ Akdogan et al , 2007; Sayin et al , 2009]. In a WSS period, first‐ and second‐order moments that correspond to the mean and variance are constants [ Papoulis and Pillai , 2002].…”
Section: Introductionmentioning
confidence: 99%