Neural technologies for increasing the GPS position accuracy

CIMSA 2008 - IEEE Conference on Computational Intelligence for Measurement Systems and Applications Proceedings

Volumn , Issue , 2008, Pages 4-8

  Lecce, V Di ^a   Amato, A ^a   Piuri, V ^b  

^a POLITECNICO DI BARI   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

Author keywords

GPS position accuracy; Neural network

Indexed keywords

ARTIFICIAL INTELLIGENCE; IMAGE CLASSIFICATION; INTELLIGENT CONTROL; NEURAL NETWORKS; SATELLITE NAVIGATION AIDS;

COMPUTATIONAL INTELLIGENCE; GEOGRAPHIC AREAS; GPS POSITION ACCURACY; GPS RECEIVERS; INTERNATIONAL CONFERENCES; MEASUREMENT SYSTEMS; MEASURING SYSTEMS; NEURAL NETWORK; NEURAL TECHNOLOGIES; POSITION ACCURACY; SATELLITE POSITIONING;

GLOBAL POSITIONING SYSTEM;

EID: 52249100977     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIMSA.2008.4595822     Document Type: Conference Paper

References (10)

1. 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, pp. 101-114, 2004.
2. M. R. Mosavi, "Comparing DGPS Corrections Prediction using Neural Network, Fuzzy Neural Network, and Kalman Filter", Journal of GPS Solution, pp. 1-11, 2005.
3. Yong He, Haihong Yu, Hui Fang, "Study on Improving GPS Measurement Accuracy", IMTC 2005 - Instrumentation and Measurement Technology Conference Ottawa, Canada, 17-19 May 2005, pp. 1476-1479.
4. Zaidi, A.S.; Suddle, M.R., Global Navigation Satellite Systems: A Survey, in 2006 International Conference on Advances in Space Technologies, 2-3 Sept. 2006 Page(s):84 - 87
5. Nakajima, K.; Tanaka, T., Study on accuracy improvement under bad condition in GPS, SICE 2004 Annual Conference Volume 1, 4-6 Aug. 2004 Page(s):234-238.
6. Kawamura, K.; Tanaka, T., Study on the improvement of measurement accuracy in GPS, SICE-ICASE, 2006. International Joint Conference 18-21 Oct. 2006 Page(s):1372 - 1375
7. Mosavi, M.R., An adaptive correction technique for DGPS using recurrent wavelet neural network, in ISIC. IEEE International Conference on Systems, Man and Cybernetics, 2007. 7-10 Oct. 2007 Page(s):3029 - 3033
8. 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 SA Is Turned off, International Journal of Engineering Science, Iran University of Science and Technology, Vol.15, pp.101-114, 2004.
9. Handbook of Intelligent Control, D. A. White and D. A. Sofge, Eds., Van Nostrand, New York, 1992, pp. 65-86. P. J. Werbos, Neurocontrol and Supervised Learning: An Overview and Evaluation.
10. R. S. Sutton and A. G. Barto, Reinforcement Learning. Cambridge, MA: MIT Press, 1998.