An Incremental Variable Step-Size LMS Algorithm for Adaptive Networks

A lot of research has been done in the diffusion paradigm for the wireless sensor networks. However, not enough attention has been given to the incremental strategy. Despite having better performance than the diffusion scheme, incremental based algorithms have been generally ignored. This brief pres...

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Veröffentlicht in:IEEE transactions on circuits and systems. II, Express briefs Jg. 67; H. 10; S. 2264 - 2268
Hauptverfasser: Bin Saeed, Muhammad Omer, Zerguine, Azzedine
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Adaptive algorithms
Adaptive systems
Circuits and systems
Eigenvalues and eigenfunctions
Incremental algorithm
least mean square algorithm
mean-square analysis
Signal processing algorithms
Steady-state
steady-state analysis
Transient analysis
variable step-size
Wireless networks
Wireless sensor networks
ISSN:1549-7747, 1558-3791
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Zusammenfassung:A lot of research has been done in the diffusion paradigm for the wireless sensor networks. However, not enough attention has been given to the incremental strategy. Despite having better performance than the diffusion scheme, incremental based algorithms have been generally ignored. This brief presents an incremental variable step-size strategy for distributed estimation. A detailed analysis of the performance of the algorithm is shown. The mean analysis and mean square analysis are given along with steady-state results. The mean square analysis, as presented here, is being performed for the first time and provides closed form results, unlike previous works present in the literature.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2019.2953199