TY - GEN
T1 - Signal estimation with neural networks for multipath mobile communications
AU - Hemminger, Thomas L.
PY - 1997
Y1 - 1997
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0030692285&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030692285&partnerID=8YFLogxK
U2 - 10.1109/ICNN.1997.611652
DO - 10.1109/ICNN.1997.611652
M3 - Conference contribution
AN - SCOPUS:0030692285
SN - 0780341228
SN - 9780780341227
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 138
EP - 141
BT - 1997 IEEE International Conference on Neural Networks, ICNN 1997
T2 - 1997 IEEE International Conference on Neural Networks, ICNN 1997
Y2 - 9 June 1997 through 12 June 1997
ER -