Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2006-03-27
2009-12-08
Starks, Jr., Wilbert L (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
C706S045000, C375S349000, C375S350000, C375S317000, C375S347000
Reexamination Certificate
active
07630943
ABSTRACT:
A system and method for predicting the location of a transmitter in an indoor zone of interest, including fixed receiver for receiving a signal from the transmitter, the receiver deriving a fingerprint from the received signal, and a trained neural network. The trained neural network predicts the transmitter location from the fingerprint. The method includes receiving a signal transmitted from the transmitter at a fixed-location receiver, deriving a fingerprint from the received signal, supplying the fingerprint to a trained neural network, and reading the predicted location from the neural network. The artificial neural network may further be trained and include a plurality of weights and biases is also shown. The method may include collecting a training data set of fingerprints and corresponding locations, inputting the training data set to the neural network, and adjusting the weights and biases by minimizing a sum of squares error function.
REFERENCES:
patent: 5564079 (1996-10-01), Olsson
Battiti, R., et al., “Neural Network Models for Intelligent Networks: Deriving the Location From Signal Patterns”,Proceedings, First Annual Symposium on Autonomous Intelligent Networks and Systems, (UCLA, Los Angeles, May 8-9, 2002),(2002), 13 pgs.
Liu, J., “Improving Strength-of-Arrival Position Location Using a Neural Network on Radio Channel Impulse Responses”,Thesis, Master of Science in Engineering, Department of Electrical and Computer Engineering, The University of New Brunswick,(Sep. 2002), 160 pgs.
Nerguizian, C., et al., “A Framework for Indoor Geolocation Using an Intelligent System”,Third IEEE Workshop on Wireless LANs, Technical Sessions S6, (2001), 38 pgs.
Pahlavan, K., et al., “Indoor Geolocation Science and Technology”,IEEE Communications Magazine, 40(2), (Feb. 2002), 112-118.
Affes Sofiène
Despins Charles
Nerguizian Chahè
Institut National de la Recherche Scientifique (INRS)
Schwegman Lundberg & Woessner, P.A.
Starks, Jr. Wilbert L
LandOfFree
Method and system for indoor geolocation using an impulse... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method and system for indoor geolocation using an impulse..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and system for indoor geolocation using an impulse... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4109926