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A Digital Twin Architecture for Wireless Networked Adaptive Active Noise Control

作     者:Shi, Chuang Du, Feiyu Wu, Qianyang 

作者机构:Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Peoples R China 

出 版 物:《IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING》 (IEEE ACM Trans. Audio Speech Lang. Process.)

年 卷 期:2022年第30卷

页      面:2768-2777页

核心收录:

学科分类:0808[工学-电气工程] 08[工学] 0702[理学-物理学] 

基  金:National Natural Science Foundation of China Civil Aviation Administration of China [GrantU1933127] 

主  题:Wireless communication Microphones Digital twins Wireless sensor networks Cloud computing Speech processing Loudspeakers Active noise control networked control systems wireless sensor network digital twin human-centered computing 

摘      要:The active noise control (ANC) is a complementary technique to the passive noise control (PNC) to reduce the low frequency noise. The ANC controller can be implemented by pre-trained filters or adaptive filters. The adaptive ANC controller is advantageous in its adaptation to environmental changes. However, the algorithm complexity of the adaptive ANC controller increases with the scale of ANC applications, making it difficult to be carried out on low-cost processors. To resolve this problem, cloud computing should be utilized in ANC systems, and thus the wireless networked ANC system is proposed. Since it is crucial for ANC controllers to generate the anti-noise wave in real time, this paper formulates a digital twin architecture that implements the control filter adaptation in the cloud and the anti-noise signal generation on the local controller, respectively. A digital twin filtered-reference least mean squares (DT-FxLMS) algorithm is proposed to coordinate the digital twin with the local controller. Simulation and experiment results demonstrate the effectiveness and efficiency of the wireless networked ANC system based on the digital twin architecture.

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