GSM RSSI-based positioning using extended Kalman filter for training artificial neural networks

IEEE Vehicular Technology Conference

Volumn 60, Issue 6, 2004, Pages 4141-4145

  Anne, Koteswara Rao ^a   Kyamakya, K ^a   Erbas, F ^a   Takenga, C ^a   Chedjou, J C ^a  

^a LEIBNIZ UNIVERSITY HANNOVER   (Germany)

Author keywords

Extended Kalman filetr; Mobile positioning; Multi Layer Perception; Neural network training

Indexed keywords

BACKPROPAGATION; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; KALMAN FILTERING; MOBILE TELECOMMUNICATION SYSTEMS; REAL TIME SYSTEMS; SIGNAL PROCESSING;

EXTENDED KALMAN FILTERS (EKF); MOBILE POSITIONING; MULTI LAYER PERCEPTION (MLP); NEURAL NETWORK TRAINING;

NEURAL NETWORKS;

EID: 17144369904     PISSN: 15502252     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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3. H.L. Song, "Automatic Vehicle Location in Cellular Communication Systems," IEEE Transactions on Vehicular Technology, Vol. 43, pp. 902-908, 1994.
4. Z. Salcic, E. Chan, "Mobile Station Positioning Using GSM Cellular Phone and Artificial Neural Networks", wireless personal communications 14(3):235-254;sept200
5. Symon Haykin, Kalman Filtering and Neural networks, New York; John willey &sons, 2001.
6. S. Singhal and L. Wu, "Training Multilayer Perceptions with the extended Kalman algorithm," in D. S. Touretzkey (Eds.), Advances in Neural Information Processing Systems 1, San Mateo, 2001.
7. K. Kyamakya, I. K. Adusei, F. Erbas, M. Perez, "A Fingerprint based positioning method using GSM Signal Strength Data and involving a neural network," presented at ICWN'03, Las Vegas, USA, 2003.