Steady-state Performance of Incremental LMS Strategies For Parameter Estimation Over Fading Wireless Channels
Systems and Control
2015-08-11 v1 Information Theory
math.IT
Abstract
We study the effect of fading in the communication channels between nodes on the performance of the incremental least mean square (ILMS) algorithm. We derive steady-state performance metrics, including the mean-square deviation (MSD), excess mean-square error (EMSE), and mean-square error (MSE). We obtain the sufficient conditions to ensure mean-square convergence, and verify our results through simulations. Simulation results show that our theoretical analysis closely matches the actual steady state performance.
Keywords
Cite
@article{arxiv.1508.02108,
title = {Steady-state Performance of Incremental LMS Strategies For Parameter Estimation Over Fading Wireless Channels},
author = {Azam Khalili and Amir Rastegarnia},
journal= {arXiv preprint arXiv:1508.02108},
year = {2015}
}
Comments
4 pages; 2 Figures