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A Constrained Adaptive Active Noise Control Filter Design Method Via Online Convex Optimization, Yongjie Zhuang, Yangfan Liu
A Constrained Adaptive Active Noise Control Filter Design Method Via Online Convex Optimization, Yongjie Zhuang, Yangfan Liu
Publications of the Ray W. Herrick Laboratories
In practical active noise control (ANC) applications, various types of constraints may need to be satisfied, e.g., robust stability, disturbance enhancement, and filter output power constraint. Some adaptive filters such as leaky LMS have been developed to apply required constraints indirectly. However, when multiple constraints are required simultaneously, satisfactory noise performance is difficult to achieve by tuning only one leaky factor. Another filter design approach that may achieve better noise control performance is to solve a constrained optimization problem. But the computational complexity of solving such a constrained optimization problem for ANC applications is usually too high even for offline …
Warmstarting The Constrained Optimal Filter Design Problem For Active Noise Control Systems In Conic Formulation, Yongjie Zhuang, Zhuang Mo, Yangfan Liu
Warmstarting The Constrained Optimal Filter Design Problem For Active Noise Control Systems In Conic Formulation, Yongjie Zhuang, Zhuang Mo, Yangfan Liu
Publications of the Ray W. Herrick Laboratories
In practical active noise control (ANC) systems, constraints such as stability, need to be considered in the controller design process. The optimal control filters can be obtained by solving a constrained optimization problem, which requires a significant computational effort. Recently, a convex formulation in conic form was proposed for ANC applications which was shown to result in a computational time reduction by several orders. It is desirable to further improve its efficiency so that the optimal filter design process can be continuously repeated to achieve adaptive control for slow varying operating conditions. One potential way is to introduce a warmstart …