Research on active noise control system of turboprop aircraft cockpit

This study addresses the challenge of low-frequency noise in turboprop aircraft cockpits by proposing an improved multi-channel Active Noise Control (ANC) system based on the Filtered-x Least Mean Square (FxLMS) algorithm. To mitigate the high computational complexity of conventional multi-channel ANC systems, a LabVIEW-based simulation platform is developed, incorporating frame-based processing, secondary path dynamic compression, and multi-core parallel computing to reduce system delay. To enhance convergence speed and adaptability in dynamic acoustic environments, a Variable Step Size (VSS-FxLMS) algorithm is introduced. Simulation results under multi-frequency excitation (60–310 Hz) demonstrate that the proposed algorithm achieves up to 5.38 dB improvement in Signal-to-Noise Ratio (SNR) and over 70% reduction in convergence time compared with the fixed-step FxLMS. Moreover, when faced with abrupt noise source variations, the VSS-FxLMS algorithm shows superior reconvergence ability, outperforming the baseline algorithm in both response time and residual noise levels.

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Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3760269.3760295
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
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article

Research on active noise control system of turboprop aircraft cockpit

Yingcong Chen, Chenxu Zhang, Xing Shen, Qiyue Zhang
Advanced Adaptive Filtering Techniques
article

Research on active noise control system of turboprop aircraft cockpit

Yingcong Chen, Chenxu Zhang, Xing Shen, Qiyue Zhang
article en

Abstract

This study addresses the challenge of low-frequency noise in turboprop aircraft cockpits by proposing an improved multi-channel Active Noise Control (ANC) system based on the Filtered-x Least Mean Square (FxLMS) algorithm. To mitigate the high computational complexity of conventional multi-channel ANC systems, a LabVIEW-based simulation platform is developed, incorporating frame-based processing, secondary path dynamic compression, and multi-core parallel computing to reduce system delay. To enhance convergence speed and adaptability in dynamic acoustic environments, a Variable Step Size (VSS-FxLMS) algorithm is introduced. Simulation results under multi-frequency excitation (60–310 Hz) demonstrate that the proposed algorithm achieves up to 5.38 dB improvement in Signal-to-Noise Ratio (SNR) and over 70% reduction in convergence time compared with the fixed-step FxLMS. Moreover, when faced with abrupt noise source variations, the VSS-FxLMS algorithm shows superior reconvergence ability, outperforming the baseline algorithm in both response time and residual noise levels.

Aeronautical Development Establishment (IN), Changcheng Institute of Metrology & Measurement, Nanjing University of Aeronautics and Astronautics (CN)
Openalex Percentile: Top 73%
Advanced Adaptive Filtering Techniques
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