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Complex-valued mixture generalized modified Blake–Zisserman algorithm for widely linear active noise control system
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DOI：10.1016/j.ymssp.2025.113694.png)
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Abstract
En 中文
Currently, the conventional active noise control (ANC) system has been extensively studied, and a rich number of robust algorithms for ANC system have been successively introduced. However, in the realm of complex-valued signals, there is still a lack of an appropriate ANC system to cope with it. To counteract this constraint, a widely linear active noise control (WL-ANC) system is designed in our work. Then, we propose the widely linear filtered-x complex-valued mixture generalized modified Blake–Zisserman (WL-FxCMGMBZ) algorithm for WL-ANC system. WL-FxCMGMBZ employs the complex-valued mixture generalized modified Blake–Zisserman (CGMBZ) loss function as its cost function and exhibits remarkable noise control capability. We also develop the variable step-size widely linear filtered-x complex-valued normalized mixture generalized modified Blake–Zisserman (VSS-WL-FxCNMGMBZ) algorithm to enhance the performance of WL-FxCMGMBZ. The mean convergence, mean-square steady-state performance, and computational complexity analysis are presented for theoretical analysis. Finally, extensive simulations are conducted to demonstrate the superior noise control capability of WL-FxCMGMBZ and VSS-WL-FxCNMGMBZ in various signal scenarios.
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8.9
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1.3W
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6.6W
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