A comparative study between performance of Recurrent Neural Network and Kalman Filter for DGPS corrections prediction

International Conference on Signal Processing Proceedings, ICSP

Volumn 1, Issue , 2004, Pages 356-359

  Mosavi, M R ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Differential GPS; Error prediction; Kalman Filter; Recurrent Neural Network

Indexed keywords

ALGORITHMS; DATA REDUCTION; KALMAN FILTERING; MATHEMATICAL MODELS; RECURRENT NEURAL NETWORKS; VECTORS;

DIFFERENTIAL GPS; ERROR PREDICTION; KALMAN FILTER PREDICTOR (KP); REAL TIME RECURRENT LEARNING (RTRL);

GLOBAL POSITIONING SYSTEM;

EID: 7744240368     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Kazuyuki Kobayashi, Ka C.Cheok, Kajiro Watanabe and Fumio Munekata, "Accurate Differential Gbbal Positioning System via Fuzzy Logic Kalman Filter Sensor Fusion Technique", IEEE Transactions on Industrial Electronics, Vol.45, NO.3, June 1998, pp.510-518.
2. 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.1, 2004, pp. 95-108.
3. th Iranian Aerospace Society Conference, 25-28 January 2003, Amirkabir University, pp.271-279.
4. M.H.Refan, M.R.Mosavi and K.Mohammadi, "Time Varying Kalman Filter Processing to Predict the Future Errors of a GPS Receiver", Map India Conference 2003, 28-31 January, New Delhi, India.
5. Chao-Chee Ku and Kwang Y.Lee, "Diagonal Recurrent Neural Networks for Nonlinear System Control", International Joint Conference on Neural Networks, June 1992, Vol.1, pp.315-320.
6. Chao-Chee Ku and Kwang Y.Lee, "Nonlinear System Identification Using Diagonal Recurrent Neural Networks", International Joint Conference on Neural Networks, June 1992, Vol.1, pp.839-844.