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Convergence analysis of threshold-based sparse NLMS algorithm
Conference proceeding

Convergence analysis of threshold-based sparse NLMS algorithm

Abdurahman Al-Hassan, Ahmed Iyanda Sulyman, Abdulhameed Alsanie and IEEE
2013 7th IEEE GCC Conference and Exhibition (GCC), pp.225-228
11/2013
DOI: https://doi.org/10.1109/IEEEGCC.2013.6705780

Abstract

Adaptive filter Algorithm design and analysis Channel estimation Convergence Convergence analysis Estimation Indexes NLMS Algorithm Signal processing algorithms Sparse Channel estimation Standards
In this paper we present a threshold-based sparse NLMS algorithm. The proposed algorithm uses an energy threshold criterion to detect tap sparseness and update the active coefficients accordingly. The propsed algorithm is simple to implement, and our simulation results shows that it has better estimation performance in terms of convergence speed and MSE than the standard NLMS algorithm.

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