Çakir, FatihÖzen, Ali2025-02-242025-02-242012978-146730056-810.1109/SIU.2012.62047492-s2.0-84863490686https://doi.org/10.1109/SIU.2012.6204749https://hdl.handle.net/20.500.14440/5852012 20th Signal Processing and Communications Applications Conference -- SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye -- Mugla -- 90786A novel variable step size least mean squares (VSS-LMS) algorithm employing cross correlation between channel output and error signal has been proposed as a solution to disadvantage of slow convergence of LMS algorithm. The new algorithm resolves the conflict between the convergence rate and precise of the fixed step-size conventional LMS algorithm. Computer simulations have been performed to verify the performance of the proposed method in frequency selective Rayleigh fading channels. The obtained simulation results using HIPERLAN/1 standard have demonstrated that the proposed VSS-LMS algorithm has considerably better performance than conventional LMS, RLS, normalized LMS (N-LMS) and the other VSS-LMS algorithms. © 2012 IEEE.trinfo:eu-repo/semantics/closedAccessComputer simulationSignal processingChannel outputConvergence ratesCross correlationsError signalFrequency selective Rayleigh fading channelsHiperlanLeast mean square(LMS)LMS algorithmsNormalized LMSStep sizeVariable step sizeVariable step-size LMS algorithmsAlgorithmsConference ObjectN/A