Feedforward adaptive noise control with multivariable gradient lattice filters

Shean-Jen Chen*, James Steven Gibson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


This work presents a novel feedforward adaptive noise control (ANC) algorithm based on multivariable gradient lattice filters to control acoustic noise or vibration globally. In addition, a gradient-based lattice for AR and FIR models and its transpose lattice for the multivariable ANC algorithm are derived. The filter has different forward and backward reflection coefficient matrices to provide a faster convergence than the gradient lattice algorithm when using the same reflection coefficient matrices. Experimental results demonstrate the effectiveness of the proposed algorithm in controlling broadband acoustic noise in an enclosure.

Original languageEnglish
Pages (from-to)511-520
Number of pages10
JournalIEEE Transactions on Signal Processing
Issue number3
StatePublished - 1 Mar 2001


  • ANC
  • FIR
  • Globbal control
  • Lattice filters
  • RLS

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