Convex Combination Filtered-X Algorithms for Active Noise Control Systems
Convex Combination Filtered-X Algorithms for Active Noise Control Systems
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DOI：
10.1109/tasl.2012.2215595
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
M. Ferrer;Alberto González;M. D. Diego;G. Piñero
中科院分区：
文献类型：
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作者：
M. Ferrer;Alberto González;M. D. Diego;G. Piñero
自适应滤波方案表现出收敛速度和稳态均方误差之间的折衷。为了克服这种折衷，最近开发了凸组合自适应滤波器用于系统辨识，实现了比传统方法更好的性能。本文的目的是将凸组合策略应用于单通道和多通道有源噪声控制系统。在这些系统中，有必要考虑自适应滤波器输出和误差传感器之间的次级路径以及干扰信号的可能不可用，这取决于所考虑的滤波方案。尽管这种策略比经典的自适应滤波器具有更高的计算负担，但它在收敛速度和稳态均方误差方面表现出良好的性能。
Adaptive filtering schemes exhibit a compromise between convergence speed and steady-state mean square error. Trying to overcome this trade-off, convex combination of adaptive filters have been recently developed for system identification achieving better performance than traditional approaches. The purpose of this work is to apply the convex combination strategy to single-channel and multichannel active noise control systems. In these systems it is necessary to take into account the secondary path between the adaptive filter output and the error sensor and the possible unavailability of the disturbance signal, which depends on the filtering scheme considered. Even though this strategy involves a higher computational burden than the classic adaptive filters, it exhibits a good performance in terms of convergence speed and steady-state mean square error.