A feedback ANC system using adaptive lattice filters

This paper investigates the feedback active noise control system which consists of three modules: predictor, identifier and equalizer. The predictor is implemented by an adaptive transversal FIR filter. A new adaptive lattice filter is proposed to construct the identifier which is constrained to be minimum-phase. The reflection coefficients of the identifier are then used to form a lattice IIR filter for equalization with guaranteed stability. Simulation results show that adopting the adaptive lattice filters for identification and equalization achieves excellent performance, and the feedback ANC system is effective for low-frequency noise reduction