Title :
Comparing RLS and LMS adaptive equalizers for nonstationary wireless channels in mobile ad hoc networks
Author :
Wang, Raymond ; Jindal, Nihar ; Bruns, Thomas ; Bahai, Ahmad R S ; Cox, Donald C.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
The paper compares performance of finite impulse response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square (LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation results, in terms of steady-state mean-square estimation error (MSE) and average bit-error rate (BER) metrics, are found for the frequency-selective Rayleigh fading wireless channel experienced in a mobile ad hoc network where nodes are lognormally shadowed from each other. For the nonstationary channel models considered, RLS is always found to outperform LMS.
Keywords :
FIR filters; Rayleigh channels; ad hoc networks; adaptive equalisers; adaptive filters; error statistics; least mean squares methods; least squares approximations; mean square error methods; mobile radio; scattering; time-varying channels; BER; FIR equalizer; FIR filters; LMS algorithm; MSE; RLS algorithm; Rayleigh fading channel; adaptive equalizers; adaptive filters; bit-error rate; frequency-selective channel; least mean square algorithm; linear equalizers; mean-square estimation error; mobile ad hoc networks; nonstationary wireless channels; recursive least-squares algorithm; scattering wireless channels; time-varying channel; Adaptive equalizers; Bit error rate; Estimation error; Finite impulse response filter; Frequency estimation; Least squares approximation; Mobile ad hoc networks; Rayleigh scattering; Resonance light scattering; Steady-state;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on
Print_ISBN :
0-7803-7589-0
DOI :
10.1109/PIMRC.2002.1045204
