[1] عادل دمشقی، طراحی و پیاده‌سازی سامانه مکان‌یاب تفاضلی بلادرنگ با استفاده از مدل‌های پیش‌گویی بر روی گیرنده‌های ارزان‌قیمت، درجه کارشناسی ارشد، دانشگاه تربیت دبیر شهید رجایی، تهران، 1392.
[2] محمدحسین رفان، سامانه‌های موقعیت‌یاب ماهواره‌ای و کاربردها، تهران، انتشارات دانشگاه تربیت دبیر شهید رجایی، 1389.
[3] M.H. Refan, and A. Dameshghi, “Comparing error predictions of GPS position components using, ARMANN, RNN, and ENN in order to use in DGPS,” 20th Telecommunications Forum, Belgrade, pp. 815-818, 2012.
[4] M.H. Refan, and A. Dameshghi, “RTDGPS implementation by online prediction of GPS position components error using GA-ANN model,” Journal of Electrical and Computer Engineering Innovations, vol. 1, no. 1, pp. 43-50, 2013.
[5] M.H. Refan, A. Dameshghi, and M. Kamarzarrin, “Real time pseudo-range correction predicting by a hybrid GASVM model in order to improve RTDGPS accuracy,” Iranian Journal of Electrical and Electronic Enginering, vol. 9, no. 4, pp. 215-223, 2013.
[6] M.H. Refan, A. Dameshghi, and M. Kamarzarrin, “Improving RTDGPS accuracy using hybrid PSOSVM prediction model,”
Aerospace Science and Technology,
vol. 37, pp. 55–69, 2014.
[7] M.R. Mosavi, K. Mohammadi, and M.H. Refan, “A new approach for improving of GPS positioning accuracy by using an adaptive neurofuzzy system, before and after S/A is turned off,” International Journal of Engineering Science, Iran University of Science and Technology, vol. 15, no. 3, pp. 95-108, 2004.
[8] H. Bock, R. Dach, Y. Yoon, and O. Montenbruck, “GPS clock correction estimation for near real-time orbit determination applications,” Aerospace Science and Technology, vol. 13, no. 7, pp. 415–422, 2009.
[9] K. Kawamura, and T. Tanaka, “Study on the improvement of measurement accuracy in GPS,” SICE-ICASE International Joint Conference, Busan, pp. 1372-1375, 2006.
[10] M. Mohasseb, A. Rabbany, O. Alim, and R. Rashad, “DGPS correction prediction using artificial neural networks,” The Journal of Navigation, vol. 60, no. 2, pp. 291-301, 2007.
[11] J. Zhang, K. Zhang, R. Grenfell, and R. Deakin, “GPS satellite velocity and acceleration determination using the broadcast ephemeris,” The Journal of Navigation, vol. 59, no. 4, pp. 293–305, 2006.
[12] M.R. Mosavi, “Comparing DGPS corrections prediction using neural network, fuzzy neural network, and kalman filter,” Journal of GPS Solutions, vol. 10, no. 3, pp. 97-107, 2006.
[13] M.R. Mosavi, “A wavelet based neural network for DGPS corrections prediction,” WSEAS Transactions on Systems, vol. 3, no. 4, pp. 3070-3075, 2004.
[14] M.R. Mosavi, “Estimation of pseudo-range DGPS corrections using neural networks trained by evolutionary algorithms,” Journal of Review of Electrical Engineering, vol. 5, no. 2, pp. 2715-272, 2010.
[15] D. Jwo, T. Lee, and Y.W. Tseng, “ARMA neural Networks for predicting DGPS pseudo range correction,” The journal of navigation, vol. 57, no. 6, pp. 275–28, 2004.
[16] Y. Geng, “Online DGPS correction prediction using recurrent neural networks with unscented kalman filter,” International Global Navigation Satellite Systems Society IGNSS Symposium, Sydney, 2007.
[17] B. Park, J. Kim, and C. Kee, “RRC unnecessary for DGPS messages,” IEEE Transactions on Aerospace and Electronic Systems, vol. 42, no. 1, pp. 1149-1160, 2006.
[18] A. Indriyatmoko, T.Y.J. Kang, G.I. Lee, Y.B. Jee, and J. Kim, “Artificial neural network for predicting DGPS carrier phase and pseudo-range correction,” Journal of GPS Solutions, vol. 12, no. 2, pp. 237-247, 2008.
[19] RTCM Special Committee, RTCM Recommended Standards for Differential Global Navigation Satellite Systems (GNSS), service version 2.2, no. 104, 1998.
[20] C.T. Chiang, and J.S. Hsu, “Improvement in DGPS Accuracy Using Recurrent S_CMAC_GBF,” World Academy of Science, Engineering and Technology, vol. 55, pp. 422-427, 2009.
[21] M.R. Mosavi, and H. Nabavi, “Improving DGPS Accuracy using Neural Network Modeling,” Australian Journal of Basic and Applied Sciences, vol. 5, no. 2, pp. 848-856, 2011.
[22] M. Bod´en, A guide to recurrent neural networks and backpropagation, The Dallas Project, SICS Technical Report, Available online at: http://citeseerx.ist.psu.edu/-viewdoc/summary?doi=10.1. 1.16.6652/, 2002.
[23] X. Cai, N. Zhang, G. Vena, and D.C. Wunsch, “Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm,” Journal of Neurocomputing, vol. 70, no. 3, pp. 2342-2353, 2007.
[24] A. Graves, and J. Schmidhuber, “Offline handwriting recognition with multi-dimensional recurrent neural networks,” 22nd Annual Conference on Neural Information Processing Systems, Vancouver, 2008.
[25] C.L. Giles, S. Lawrence, and A.C. Tsoi, “Noisy time series prediction using a recurrent neural network and grammatical inference,” Machine Learning, vol. 44, no. 6, pp. 161–183, 2001.
[26] J. Pettersson, and M. Wahde, “Generating balancing behavior using recurrent neural networks and biologically inspired computation methods,” IEEE Transactions of Evolutionary Computation, vol. 23, no. 4, pp. 136-148, 2006.
[27] R.J. Williams, and D. Zipser, “A learning algorithm for continually running fully recurrent neural networks,” Neural Computation, vol. 1, no. 3, pp. 270–280, 1998.
[28] L.S. Wei, Y.K. Ching, C.S. Chieh, and L.Z. Jung, “Particle swarm optimization for parameter determination and feature selection of support vector machines,” Expert Systems with Applications, vol. 35, no. 2, pp. 1817-1824, 2008.
[29] W. Yongli, N. Dongxiao, and M. Xiaoyong, “Optimizing of SVM with hybrid PSO and genetic algorithm in power load forecasting,” Journal of Networks, vol. 5, no. 4, pp. 1192-1198, 2010.
[30] F. Ardjani, and K. Sadouni, “Optimization of SVM multiclass by particle swarm (PSO-SVM),” International Journal of Modern Education and Computer Science, vol. 2, no. 1, pp. 32-38, 2010.
[31] M12M User's Guide, i-Lotus GPS Products, Available online at: http://www.ilotus.com.sg/m12m_navigation_-oncore/.
[32] Sena Technologie, ZigBee Serial Adapter ProBee-ZS10 User Guide, Available online at: http://www.sena.com/-products/industrial_zigbee/zs10.php/.
[33] Protocol Specification, U-blox 6 Receiver Description, Available online at: http://www.u-blox.com/en/gps-modu- les.html/.
)