Active Noise Control

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Active Noise Control with 
Adaptive Lattice Filters

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bulletNew adaptive ANC algorithms based on recursive least-squares (RLS) lattice filters produce faster adaptation (convergence) than standard algorithms based on stochastic-gradient (LMS) adaptation.
bulletRLS lattice filters produce true minimum-variance performance in the presence of broad-band noise.

Properties of Lattice Filters

bulletFast real-time computation
bulletNumerically stable for number of channels > 100, filter order > 100
bulletExcellent VLSI realization


 

Experimental
Active Noise Control
in a One-Meter Box
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Broadband noise is generated by an external speaker and sensed by an external microphone.

 

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An internal speaker (actuator) is driven by the ANC computer.

 

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Sample-and-hold rate:  2500Hz

 

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Adaptive Lattice Filter of order 14 selects control gains to minimize noise at internal microphones.

 

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Lattice Filter converges to near-optimal gains in 0.1 sec, optimal gains in 0.25 sec.

 

S.-J. Chen and J. S. Gibson, “Feedforward adaptive noise control with multivariable gradient lattice filters,” IEEE Transactions on Signal Processing, vol. 49, pp. 511–520, March 2001.

C.-F. Wu and J. S. Gibson, “Blind identification and deconvolution for IIR channels,” IEEE Conference on Decision and Control, December 1998.

S.-J. Chen, J. Lew, J.S. Gibson, and C.-M. Ho, “Cancellation of noise in an acoustic experiment by an adaptive lattice filter.”

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 Copyright 2007.
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Last updated: 05/16/07.