DocumentCode :
1564890
Title :
An improved Bluetooth system based on CNN equalizer
Author :
Ren, Quansheng ; Zhao, Jianye ; Yu, Daoheng
Author_Institution :
Dept. of Electron., Peking Univ., Beijing
Volume :
2
fYear :
2005
Firstpage :
955
Lastpage :
958
Abstract :
In this paper, the simulation results of cellular neural network (CNN) equalizer in Bluetooth system are shown. Compared with traditional Bluetooth without CNN equalizer, the performance of improved system is more robust. There is 4 dB improvement in modified Bluetooth system when the channel is multi-path channel with additive white Gaussian noise. The structure of hardware CNN equalizer spectrum system is also shown
Keywords :
AWGN; Bluetooth; cellular neural nets; equalisers; multipath channels; Bluetooth system; additive white Gaussian noise; cellular neural network equalizer; multi-path channel; Bluetooth; Cellular neural networks; Circuit faults; Equalizers; Frequency; GSM; Hardware; Intersymbol interference; Maximum likelihood estimation; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614778
Filename :
1614778
Link To Document :
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