An Improved Diffusion Affine Projection Estimation Algorithm for Wireless Sensor Networks

Affine projection algorithms have shown robustness against highly correlated input signals. To make the affine projection algorithm applicable for parameter estimation in wireless sensor networks, this work proposed a novel distributed affine projection algorithm by using the adapt-then-combine (ATC...

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Bibliographic Details
Published inCircuits, systems, and signal processing Vol. 39; no. 6; pp. 3173 - 3188
Main Authors Hu, Limei, Chen, Feng, Duan, Shukai, Wang, Lidan, Wu, Jiagui
Format Journal Article
LanguageEnglish
Published New York Springer US 01.06.2020
Springer Nature B.V
Subjects
Adaptive algorithms
Algorithms
Circuits and Systems
Computer simulation
Diffusion
Electrical Engineering
Electronics and Microelectronics
Engineering
Instrumentation
Parameter estimation
Projection
Robustness (mathematics)
Signal,Image and Speech Processing
Wireless networks
Wireless sensor networks
Wireless sensor networks
Parameter estimation
Adaptive node selecting
Diffusion strategy
Potential risk
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Summary:Affine projection algorithms have shown robustness against highly correlated input signals. To make the affine projection algorithm applicable for parameter estimation in wireless sensor networks, this work proposed a novel distributed affine projection algorithm by using the adapt-then-combine (ATC) scheme of the diffusion strategy. However, poorly performing nodes can potentially degrade to estimation performance. Thus, we develop an improved ATC diffusion affine projection algorithm (improved ATC-dAPA) with adaptive node selection to maintain the estimation accuracy. The mean and mean square deviation of the proposed algorithm are analyzed. The numerical simulation results illustrate that the proposed algorithm can achieve more accurate estimations than several related algorithms.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-019-01317-5