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
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;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180028
