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Stochastic averaging analysis of an adaptive time delay estimation algorithm

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2 Author(s)
X. Kong ; Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA ; V. Solo

The authors present a theoretical analysis of an adaptive delay estimation algorithm based on stochastic averaging theory. Both time-invariant and time-variant delay cases are considered. With time-invariant delay, the estimator is found to converge weakly to a deterministic differential equation as adaptive speed decreases. For the time-variant delay case, a first-order averaging analysis gives a similar result. Simulation results are also presented

Published in:

Decision and Control, 1990., Proceedings of the 29th IEEE Conference on

Date of Conference:

5-7 Dec 1990