چکیده مقاله
Adaptive networks have been proposed to solve the problem of linear estimation in a different mode of cooperation Among the adaptive networks, the no cooperation mode is easy to implement centralized based networks offer good estimation performance The goal of this paper is to design no cooperation and centralized least mean squares LMS adaptive networks with predefined performance in estimation problems without power and communication constraints Particularly, under small step sizes and some conditions on the data, we assign the step size parameter at any node in no cooperation mode in a way that the steady state value of mean square deviation MSD in network becomes smaller than a desired value In centralized mode of LMS based adaptive networks, we assign the step size parameter for fusion center that becomes smaller than a desired value In both methods, the step size is adjusted for each node according to its measurement quality which is stated in terms of observation noise variance Also we discuss the number of nodes required for achiveing predefined performance and node failure effect that is modeled with pure noise in a centralized based network Simulation results are included to show the performance of the proposed algorithms
کلیدواژهها
نویسندگان
M Farhid
Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran
M Shamsi
Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran
M.H Sedaaghi
Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran
شیوه ارجاع
Farhid, M and Shamsi, M and Sedaaghi, M.H,1394,Design of non-cooperative and centralized LMS based adaptive networks with Desired Mean-Square Deviation for estimation of the unknown parameter,International Conference on New Research Findings in Electrical Engineering and Computer Science,Tehran
ارائهشده در
مجموعه مقالات سومین کنفرانس ملی محاسبات نرم علوم مهندسی در صنعت و جامعه1 اسفند 1402 · ایرانشهر