Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm

Details Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm

Jan 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011adspr..47..115a&link_type=abstract

Advances in Space Research, Volume 47, Issue 1, p. 115-123.

Computer Science

Learning

1

Scientific paper

The Ionospheric Total Electron Content is responsible for the group delay of the signals from the Navigation satellites. This delay causes ranging error, which in turn degrades the accuracy of position estimated by the receivers. For critical applications, single frequency receivers resort to Satellite Based Augmentation Systems in order to have improved accuracy and integrity. The performance of these systems in terms of accuracy can be improved if predictions of the delays are available simultaneously with real measurements. This paper attempts to predict the Total Electron Content using adaptive recurrent Neural Network at three different locations of India. These locations are selected at the magnetic equator, at the equatorial anomaly crest and outside the anomaly range, respectively. In-situ Learning Algorithm has been used for tracking the non-stationary nature of the variation. Prediction is done for different prediction intervals. It is observed that, for each case, the mean and root mean square values of prediction errors remain small enough for all practical applications. Analysis of Variance is also done on the results.

Affiliated with

Also associated with

No associations

Rating

Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Prediction of ionospheric total electron content using adaptive neural network with in-situ learning algorithm will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1207370