Linear independence method for noninvasive on-line system identification/secondary path modeling for filtered-X LMS-based active noise control systems

摘要

A method for noninvasive on-line secondary path modeling for the filtered-X LMS algorithm actively controls periodic noise. The method, based in the frequency domain, uses the concept of linear independence of two equations/two unknowns to arrive at the secondary path estimate. Linear independence of the two equations is achieved by adjusting the control filter output via the filter coefficients prior to the acquisition of the second set of data corresponding to the second equation.