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In this approach, a sudden change in the secondary path during operation makes the algorithm reactivate injection of the white noise to re-adjust the secondary path estimate.
In existing literature, the secondary path used in a HANC system is estimated offline.
In addition, the proposed ANC system is robust against sudden changes of the secondary path model.
In a real time environment, the secondary path is time varying in nature.
The realization of the secondary path is usually obtained using a system identification technique.
due to the absence of the exact knowledge of the secondary path.
Since we do not have the exact knowledge of the secondary path, we can substitute Eqs.
Using the experimental data from [3] for the secondary path, the algorithms should converge to the filter in Figure 5, which shows the CMD algorithm response, the plant frequency response, and the secondary path frequency response.
The inclusion of the secondary path in FxLMS makes its convergence analysis complex as compared to the standard LMS algorithm.
Here, we consider the case of overestimation for the secondary path, as was the case for Eq. (12).
Bergamasco et al. [11] provided a solution based on online estimation of the secondary path for ANC applications.
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