Adaptive channel equalizer with new VSS LMS algorithm
نویسندگان
چکیده
This paper introduces a new variable step-size LMS (NVSS LMS) algorithm in an adaptive channel equalizer. This variant of VSS LMS algorithm is based on the weighting coefficinets bias/varance trade-off. We will show here that the adaptive equalizer with the NVSS LMS algorithm has favorable performance. Simulation results are provided to support the proposed implementation of the NVSS LMS.
منابع مشابه
An Optimized Online Secondary Path Modeling Method for Single-Channel Feedback ANC Systems
This paper proposes a new method for online secondary path modeling in feedback active noise control (ANC) systems. In practical cases, the secondary path is usually time-varying. For these cases, online modeling of secondary path is required to ensure convergence of the system. In literature the secondary path estimation is usually performed offline, prior to online modeling, where in the prop...
متن کاملThe Wavelet Transform-Domain LMS Adaptive Filter Algorithm with Variable Step-Size
The wavelet transform-domain least-mean square (WTDLMS) algorithm uses the self-orthogonalizing technique to improve the convergence performance of LMS. In WTDLMS algorithm, the trade-off between the steady-state error and the convergence rate is obtained by the fixed step-size. In this paper, the WTDLMS adaptive algorithm with variable step-size (VSS) is established. The step-size in each subf...
متن کاملDiscrete Cosine Transform Domain Parallel LMS Equalizer
The least mean square (LMS) algorithm is the most popular adaptive ltering method due to its simplicity and predictable behavior. The convergence properties of the LMS algorithm can be improved by updating the lter coe cients in the transform domain. This paper presents a new transform domain LMS equalizer, called Discrete Cosine Transform Domain Parallel LMS (DCTPLMS) equalizer, which updates ...
متن کاملDesign of Adaptive Equalizer Based on Variable Step LMS Algorithm
Adaptive equalizer is important in transmission of wireless communication. The equalizer using least mean square (LMS) algorithm is adopted. Simulation results show that step size influences the algorithm convergence and stability, which will significantly affect the performance of adaptive equalizer. The requirement of step for convergence speed, time-varying tracking accuracy and convergence ...
متن کاملSpeech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering
This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...
متن کامل