Comparing RLS and LMS adaptive equalizers for nonstationary wireless channels in mobile ad hoc networks

by: R Wang, N Jindal, T Bruns, ARS Bahai, DC Cox

Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on, Vol. 3 (2002), pp. 1131-1135 vol.3.

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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.

@inproceedings{citeulike:2672838, 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.}, author = {Wang, R. and Jindal, N. and Bruns, T. and Bahai, A. R. S. and Cox, D. C. }, booktitle = {Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on}, citeulike-article-id = {2672838}, journal = {Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on}, keywords = {adaptive, ad-hoc, channel, equalization, lms, mobile, network, rls, wireless}, pages = {1131--1135 vol.3}, posted-at = {2008-04-15 11:47:52}, priority = {2}, title = {Comparing RLS and LMS adaptive equalizers for nonstationary wireless channels in mobile ad hoc networks}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1045204}, volume = {3}, year = {2002} }

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TY - CONF ID - citeulike:2672838 L3 - citeulike-article-id:2672838 TI - Comparing RLS and LMS adaptive equalizers for nonstationary wireless channels in mobile ad hoc networks T2 - Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on JF - Personal, Indoor and Mobile Radio Communications, 2002. The 13th IEEE International Symposium on VL - 3 SP - 1131 EP - 1135 vol.3 N2 - 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. KW - adaptive KW - ad-hoc KW - channel KW - equalization KW - lms KW - mobile KW - network KW - rls KW - wireless AU - Wang, R AU - Jindal, N AU - Bruns, T AU - Bahai, ARS AU - Cox, DC PY - 2002/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1045204 ER -

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