en 5-Satellite Communications Satellite Communications Research Paper Research Paper <p style="text-align: justify;">Differential Global Positioning System (DGPS) provides differential corrections for a GPS receiver in order to improve the navigation solution accuracy. DGPS position signals are accurate, but very slow updates. Improving DGPS corrections prediction accuracy has received considerable attention in past decades. In this research work, the Neural Network (NN) based on the Gaussian Radial Basis Function (RBF) has been developed. In many previous works all parameter of RBF NN are optimizing by evolutionary algorithm such as Particle Swarm Optimization (PSO), but in our approach shape parameter and centers of RBF NN are calculated in better way, in addition, search space for PSO algorithm will be reduced which cause more accurate and faster approach. The obtained results show that RMS has been reduced about 0.13 meter. Moreover, results are tabulated in the tables which verify the accuracy and faster convergence nature of our approach in both on-line and off-line training methods.</p> <p style="text-align: justify;"></p><p style="text-align: justify;"></p> Accuracy,DGPS Corrections,Neural Network,Prediction,Particle Swarm Optimization,Radial Basis Function, 219 227 http://ijeee.iust.ac.ir/browse.php?a_code=A-10-78-20&slc_lang=en&sid=1 M. R. Mosavi m_mosavi@iust.ac.ir 180031947532846005778 180031947532846005778 Yes Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran A. Rashidinia Anoushirvan_rashidinia@yahoo.com 180031947532846005779 180031947532846005779 No Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran