Title :
Steady-State Performance of Adaptive Diffusion Least-Mean Squares
Author :
Lopes, Cassio G. ; Sayed, Ali H.
Author_Institution :
Department of Electrical Engineering, University of California, Los Angeles, CA, 90095. Email: cassio@ee.ucla.edu
Abstract :
We study the mean-square performance of a diffusion least mean-squares protocol proposed in recent work to address the problem of distributed estimation [1, 2]. By relying on energy conservation arguments [8] we derive closed form expressions for the mean-square deviation (MSD) and the excess mean-square error (EMSE) of the adaptive network. Examples show a good agreement between simulations and theory.
Keywords :
Adaptive estimation; Adaptive filters; Adaptive systems; Aggregates; Energy conservation; Least squares approximation; Network topology; Peer to peer computing; Protocols; Steady-state; Adaptive filters; adaptive estimation; adaptive networks; cooperative systems; diffusion algorithm; distributed estimation; mean-square analysis;
Conference_Titel :
Statistical Signal Processing, 2007. SSP '07. IEEE/SP 14th Workshop on
Conference_Location :
Madison, WI, USA
Print_ISBN :
978-1-4244-1198-6
Electronic_ISBN :
978-1-4244-1198-6
DOI :
10.1109/SSP.2007.4301234
