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An Incremental Variable Step-Size LMS Algorithm for Adaptive Networks
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DOI：10.1109/TCSII.2019.2953199.png)
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Abstract
En 中文
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.
Keywords:
Signal processing algorithms
Steady-state
Circuits and systems
Transient analysis
Adaptive systems
Wireless sensor networks
Eigenvalues and eigenfunctions
Incremental algorithm
least mean square algorithm
variable step-size
mean-square analysis
steady-state analysis
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