학술논문

Distributed estimation over an adaptive diffusion network based on the family of affine projection algorithms
Document Type
Conference
Source
6th International Symposium on Telecommunications (IST) Telecommunications (IST), 2012 Sixth International Symposium on. :607-611 Nov, 2012
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Heuristic algorithms
Steady-state
Adaptive systems
Signal processing algorithms
Projection algorithms
Signal processing
Estimation
Distributed selective partial affine projection algorithm
dynamic selectiion
distributed estimation
adaptive diffusion networks
Diffusion cooperation
Language
Abstract
In this paper, we present the distributed selective partial update affine projection algorithm (dSPU-APA), the distributed dynamic selection affine projection algorithm (dDS-APA), and dSPU-DS-APA to solve distributed estimation problem over adaptive diffusion networks. In dSPU-APA, the filter coefficients are partially updated during the adaptation. For dDS-APA, the input regressors are dynamically selected at each iteration. Diffusion cooperation schemes have been shown to provide good performance in these algorithms. The good performance of these algorithms is demonstrated by presenting several simulation results.