Abstract
Active noise control (ANC) systems are required to model direct and acoustic feedback paths as well as the error path on an on‐line basis. In this paper a new adaptive on‐line error‐path modeling technique is presented. An adaptive IIR filter using SHARF algorithm is used to generate the canceling signal. The error path is modeled by a LMS adaptive filter. This new modeling technique uses the canceling signal to train an adaptive model that is placed in parallel with the error path. This process is performed only when certain conditions are satisfied in order to avoid undesired undulations. The modeling process technique differs from two other methods. Ericksson et al. [ U.S. Patent number 4,677,676, 30 June 1987] used an additional auxiliary low level, uncorrelated noise for training processes. Warnaka et al. [U.S. Patent number 4,473,906, 25 September 1984] used the canceling signal for modeling, but the plant being continuously modeled is not really the error path. Comparative performance and real‐time...
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