Reduction of electronic delay in active noise control systems--a multirate signal processing approach.

Electronic delay has been a critical problem in active noise control (ANC) systems. This is true whether a feedforward structure or a feedback structure is adopted. In particular, excessive delays would create a causality problem in a feedforward ANC system of a finite-length duct. This paper suggests a multirate signal-processing approach for minimizing the electronic delay in the control loop. In this approach, digital controllers are required in decimation and interpolation of discrete-time signals. The computation efficiency is further enhanced by a polyphase method, where the phases of low-pass finite impulse response (FIR) filters must be carefully designed to avoid unnecessary delays. Frequency domain optimization procedures based on H1, H2, and Hinfinity norms, respectively, are utilized in the FIR filter design. The proposed method was implemented by using a floating-point digital signal processor. Experimental results showed that the multirate approach remains effective for suppressing a broadband (200-600 Hz) noise in a duct with a minimum upstream measurement microphone placement of 20 cm.

[1]  Richard H. Small.  Closed-Box Loudspeaker Systems-Part 1: Analysis , 1972 .

[2]  Masayoshi Tomizuka,et al.  Analysis and Synthesis of Discrete-Time Repetitive Controllers , 1989 .

[3]  Sen M. Kuo,et al.  Active Noise Control Systems: Algorithms and DSP Implementations , 1996 .

[4]  I. C. Shepherd,et al.  An experimental study of a broadband active attenuator for cancellation of random noise in ducts , 1983 .

[5]  Mingsian R. Bai,et al.  Effects of Directional Microphone and Transducer in Spatially Feedforward Active Noise Control System : Instrumentation, Measurement, and Fabrication Technology , 2001 .

[6]  P. P. Vaidyanathan.  Design and Implementation of Digital FIR Filters , 1987 .

[7]  Bruce A. Francis,et al.  Feedback Control Theory , 1992 .

[8]  C. Fuller,et al.  Causality analysis of feedforward‐controlled systems with broadband inputs , 1993 .

[9]  P. P. Vaidyanathan,et al.  Classical sampling theorems in the context of multirate and polyphase digital filter bank structures , 1988, IEEE Trans. Acoust. Speech Signal Process..

[10]  Georges Bonnerot,et al.  Digital filtering by polyphase network:Application to sample-rate alteration and filter banks , 1976 .

[11]  Mingsian R. Bai,et al.  Analysis and DSP implementation of a broadband duct ANC system using spatially feedforward structure , 2001 .

[12]  M. A. Swinbanks.  The active control of sound propagation in long ducts , 1973 .

[13]  Ml Munjal,et al.  An analytical, one‐dimensional, standing‐wave model of a linear active noise control system in a duct , 1988 .

[14]  S.J. Elliott,et al.  Active noise control , 1993, IEEE Signal Processing Magazine.