Efficient active noise controller using a fixed-point DSP

Authors:
Cheng-Yuan Chang
Affiliations:
Department of Electrical Engineering, Chung Yuan Christian University, Jhongli, Taiwan 320, ROC
Venue:
Signal Processing
Year:
2009

Citing 3
Cited 1

Active Noise Control Systems: Algorithms and DSP Implementations

Active Noise Control Systems: Algorithms and DSP Implementations
Online secondary path modeling in multichannel active noise control systems using variable step size

Signal Processing
A new variable step size LMS algorithm-based method for improved online secondary path modeling in active noise control systems

IEEE Transactions on Audio, Speech, and Language Processing

Review: Advances in active noise control: A survey, with emphasis on recent nonlinear techniques

Signal Processing

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Abstract

This paper presents an efficient active noise control (ANC) system using a fixed-point DSP. The proposed controller uses magnitude and phase compensation to eliminate the errors associated with the nonlinear distortion of analog devices in the ANC system, and hence, to improve the noise reduction performance. The quantization and rounding errors associated with the fixed-point DSP are also compensated for. Several ANC experiments reveal that the proposed controller reduces broadband noise by about 20dB and narrowband noise by about 45dB. The compensation idea is also useful to other applications of filter design.