Title :
A RLS bilinear filter for channel equalization
Author :
Ma, Gin-Kou ; Lee, Junghsi ; Mathews, V. John
Author_Institution :
Adv. Technol. Center, Ind. Technol. Res. Inst., Hsinchu, Taiwan
Abstract :
This paper introduces a nonlinear recursive least squares decision feedback equalizer (DFE). The nonlinearity is modeled using a bilinear system. Bilinear models are attractive because of its ability to approximate a large class of nonlinear systems efficiently. Results of computer simulation experiments that compare the performance of the bilinear DFE to two other alternatives, viz., a conventional DFE and a truncated Volterra DFE, in eliminating the intersymbol interference caused by a nonlinear channel are presented. The results demonstrate the superior performance of the bilinear DFE over the competing structures at least for the cases considered
Keywords :
adaptive equalisers; adaptive filters; adaptive signal processing; bilinear systems; decision feedback equalisers; interference suppression; intersymbol interference; least squares approximations; nonlinear network analysis; telecommunication channels; RLS bilinear filter; adaptive bilinear equalizer; bilinear models; bilinear system; channel equalization; computer simulation experiments; decision feedback equalizer; intersymbol interference; nonlinear channel; nonlinear recursive least squares; nonlinear systems; performance; truncated Volterra DFE; Adaptive equalizers; Adaptive filters; Communication channels; Computer simulation; Decision feedback equalizers; Intersymbol interference; Least squares approximation; Least squares methods; Nonlinear systems; Resonance light scattering;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.390049
