Diffusion Affine Projection Sign Least Mean Fourth Algorithm for Distributed Estimation

dc.contributor.authorSuchada Sitjongsataporn
dc.contributor.authorSethakarn Prongnuch
dc.contributor.authorTheerayod Wiangtong
dc.date.accessioned2026-05-08T19:21:41Z
dc.date.issued2022-5-24
dc.description.abstractThe problem of distributed estimation is considered for distributed network. A diffusion model on adaptive affine projection sign algorithm based on least mean fourth algorithm is introduced according to an Adapt-Then-Combine (ATC) design for the distributed framework. Least mean fourth (LMF) algorithm is defined by taking the fourth power of error to against the non-Gaussian environment. An adaptive affine projection sign algorithm based on LMF algorithm is proposed firstly. Then, an ATC diffusion model on adaptive affine projection sign algorithm based on LMF algorithm is presented in terms of the low complexity of sign approach with the order of adaptation and combination, named as ATC-DAPS-LMF. Numerical simulations verify that the proposed algorithm can perform significantly to the conventional affine projection sign algorithm.
dc.identifier.doi10.1109/ecti-con54298.2022.9795527
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/18171
dc.publisher2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
dc.subjectTarget Tracking and Data Fusion in Sensor Networks
dc.subjectAdvanced Adaptive Filtering Techniques
dc.subjectBlind Source Separation Techniques
dc.titleDiffusion Affine Projection Sign Least Mean Fourth Algorithm for Distributed Estimation
dc.typeArticle

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