Title :
Predictive self-learning equalization for mobile radio channels: an LMSXRLS comparison
Author :
Lopes, Renato Da Rocha ; Rocha, Carlos Aurélio Faria da ; Romano, Joäo Marcos Travassos
Author_Institution :
DECOM-FEEC, UNICAMP, Brazil
Abstract :
In this work, the applicability of blind equalizers to mobile communication systems is investigated. The equalizing scheme to be used consists of a non-linear IIR predictive structure composed of a cascade of a magnitude and a phase equalizer. The aim is to provide a comparison between the LMS and the RLS techniques implemented in this structure. Simulation results are first presented considering a stationary model of the mobile radio channel. Then, the tracking capability of both algorithms is analysed in a non-stationary context of mobile radio channels.
Keywords :
IIR filters; Rayleigh channels; adaptive equalisers; decision feedback equalisers; equalisers; fading; land mobile radio; least mean squares methods; nonlinear filters; prediction theory; telecommunication standards; time division multiple access; time-varying channels; time-varying channels5801134; tracking; LMS; LMSXRLS; RLS; blind equalizers; cascade; magnitude equalizer; mobile radio channels; nonlinear IIR predictive structure; nonstationary mobile radio channels; phase equalizer; predictive self-learning equalization; stationary model; tracking capability; Adaptive equalizers; Algorithm design and analysis; Blind equalizers; Fading; IIR filters; Intersymbol interference; Land mobile radio; Least squares approximation; Resonance light scattering; Transfer functions;
Conference_Titel :
Signal Processing Advances in Wireless Communications, First IEEE Signal Processing Workshop on
Conference_Location :
Paris, France
Print_ISBN :
0-7803-3944-4
DOI :
10.1109/SPAWC.1997.630395
