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arXiv · 1508.02108

Steady-state Performance of Incremental LMS Strategies For Parameter Estimation Over Fading Wireless Channels

Azam Khalili·Amir Rastegarnia
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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.

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Azam Khalili, Amir Rastegarnia. 2015-08-01. Steady-state Performance of Incremental LMS Strategies For Parameter Estimation Over Fading Wireless Channels. https://arxiv.org/abs/1508.02108

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