PROJECT TITLE :
Effects of Imperfect Secondary Path Modeling on Adaptive Active Noise Control Systems
Implementation of adaptive active noise management (ANC) systems requires an estimate model of the secondary path to be uploaded onto digital management hardware. In practice, this model is not necessarily good; but, to avoid mathematical difficulties, theoretical analysis of those systems is sometimes conducted for a good secondary path model. This paper conducts a stochastic analysis on performance of Filtered-x LMS (FxLMS)-based mostly ANC systems when the particular secondary path and its model are not identical. This analysis ends up in a range of mathematical expressions, describing effects of a general secondary path model on stability, steady-state performance and convergence speed of FxLMS-based mostly ANC systems. As a surprising result, it is found that intentional misadjustment of secondary path models can enhance performance of ANC systems in apply. Theoretical results are found to be in a good agreement with the results obtained from numerical analysis. Additionally, experimental results make sure the validity and accuracy of the theoretical results.
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