A FURLS active noise control algorithm based on least squares method

It will inevitably be affected by noise in any system, how to effectively eliminate and suppress noise is a hot topic for many years. With the development of control system theory and digital signal processing technology, an active noise control method is often used based on active filter, a FURLS control algorithm based on least squares method is proposed in the further research of the least mean square and least square algorithm. FURLS operates under the IIR filter mode and the adjustment of the filter weights adopts recursive least squares RLS. The detailed algorithm derivation and related analysis are given, and the control effect is verified by the simulation results, the selection of a different filter orders has an effect on the control effect, the greater the order, the better of the control results, then compares simulation results between FURLS and FXLMS algorithms, FURLS algorithm has higher convergence speed and better control effect.