Journal
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Volume 54, Issue 10, Pages 3768-3774Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSP.2006.880205
Keywords
acoustic noise; active noise control; adaptive control; adaptive filters; adaptive signal processing; feedforward systems; least-mean-square methods; vibration control
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A novel analysis of FxLMS convergence when the reference signal is deterministic is presented in this paper. The simple case of a sinusoidal reference is considered first, to be later extended to any combination of multiple sinusoids. In both cases, we derive an upper bound for the algorithm step size which ensures convergence. In the derivation of this result there is no need of any of the usual approximations, such as independence between reference and weights or slow convergence, which are not suitable for deterministic references. Instead, we consider the common cases where the adaptive system shows linear time-invariant behavior. The upper bound obtained for the step size is in good agreement with empirical measurements.
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