Method and system for indoor geolocation using an impulse...

Details Method and system for indoor geolocation using an impulse... Method and system for indoor geolocation using an impulse...

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.

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