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Steady-state Performance of Incremental LMS Strategies For Parameter Estimation Over Fading Wireless Channels (1508.02108v1)
Published 1 Aug 2015 in cs.SY, cs.IT, and 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.
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