DocumentCode
670588
Title
Convergence analysis of threshold-based sparse NLMS algorithm
Author
Al-Hassan, Abdurahman ; Sulyman, Ahmed Iyanda ; Alsanie, Abdulhameed
Author_Institution
Electr. Eng. Dept., King Saud Univ., Riyadh, Saudi Arabia
fYear
2013
fDate
17-20 Nov. 2013
Firstpage
225
Lastpage
228
Abstract
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.
Keywords
channel estimation; convergence; estimation theory; least mean squares methods; adaptive filtering; convergence speed estimation analysis; energy threshold criterion; least mean square algorithm; sparse channel estimation; tap sparseness detection; threshold-based sparse NLMS algorithm; Algorithm design and analysis; Channel estimation; Convergence; Estimation; Indexes; Signal processing algorithms; Standards; Adaptive filter; Convergence analysis; NLMS Algorithm; Sparse Channel estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
GCC Conference and Exhibition (GCC), 2013 7th IEEE
Conference_Location
Doha
Print_ISBN
978-1-4799-0722-9
Type
conf
DOI
10.1109/IEEEGCC.2013.6705780
Filename
6705780
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