DocumentCode
3180897
Title
Combining RNN equalizer with SOM detector
Author
Wang, Xiaoqiu ; Lu, Jianming ; Lin, Hua ; Zhang, Nuo ; Sekiya, Hiroo ; Yahagi, Takashi
Author_Institution
Graduate Sch. of Sci. & Technol., Chiba Univ., Japan
Volume
2
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
1291
Abstract
In this paper, we propose a novel receiver structure by combining adaptive RNN (recurrent neural network) equalizer with a SOM (self-organizing map) detector under serious ISI and nonlinear distortion in QAM system. The performance of the proposed scheme is shown to be quite effective in channel equalization under nonlinear distortion.
Keywords
adaptive equalisers; adaptive signal detection; intersymbol interference; nonlinear distortion; quadrature amplitude modulation; receivers; recurrent neural nets; self-organising feature maps; ISI; QAM system; RNN equalizer; SOM detector; adaptive recurrent neural network; channel equalization; nonlinear distortion; performance; receiver structure; self-organizing map; Detectors; Equalizers; Neural networks; Neurofeedback; Neurons; Nonlinear distortion; Output feedback; Recurrent neural networks; State feedback; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1180028
Filename
1180028
Link To Document