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Signal estimation with neural networks for multipath mobile communications

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1 Author(s)
T. L. Hemminger ; Sch. of Eng. & Eng. Technol., Pennsylvania State Univ., Erie, PA, USA

This paper deals with signal estimation in multipath fading channels. Multipath fading is a significant problem in wireless communications systems and may occur whenever there is more than one path from a transmitter to the intended receiver. One method of addressing this task is to implement a RAKE receiver. However, this requires estimates of tap weights based on characteristics of the channel model. Within limited environments the multipath characteristics of a channel may exhibit little variation over time. Under these conditions a neural network can be employed to learn the tap weights. This paper illustrates the use of neural networks in solving this problem and presents results from simulations

Published in:

Neural Networks,1997., International Conference on  (Volume:1 )

Date of Conference:

9-12 Jun 1997