Title :
A decision feedback recurrent neural equalizer as an infinite impulse response filter
Author :
Ong, Sunghwan ; You, Cheolwoo ; Choi, Sooyong ; Hong, Daesik
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
11/1/1997 12:00:00 AM
Abstract :
An adaptive decision feedback recurrent neural equalizer (DFRNE), which models a kind of an IIR structure, is proposed. Its performance is compared with the traditional linear and nonlinear equalizers with FIR structures for various communication channels. The small size and high performance of the DFRNE makes it suitable for high-speed channel equalization
Keywords :
IIR filters; adaptive equalisers; decision feedback equalisers; filtering theory; recurrent neural nets; telecommunication channels; FIR structures; IIR structure; adaptive decision feedback recurrent neural equalizer; communication channels; high speed channel equalization; infinite impulse response filter; linear equalizer; nonlinear distortion; nonlinear equalizer; performance; Adaptive equalizers; Communication channels; Decision feedback equalizers; Digital filters; Finite impulse response filter; IIR filters; Iterative algorithms; Neurofeedback; Nonlinear distortion; Recurrent neural networks;
Journal_Title :
Signal Processing, IEEE Transactions on