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

نویسندگان

  • Raymond Wang
  • Nihar Jindal
  • Thomas Bruns
  • Ahmad Bahai
  • Donald C. Cox
چکیده

This 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.

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تاریخ انتشار 2002