Title :
Active noise control with bias free pre-inverse adaptive system
Author :
Tanaka, Yusaku ; Sasaoka, Naoto ; Itoh, Yoshio ; Kobayashi, Masaki
Author_Institution :
Grad. Sch. of Eng., Tottori Univ., Tottori, Japan
Abstract :
Filtered-x algorithm has a possibility of making an active noise control (ANC) unstable due to the modeling error of a secondary path. A pre-inverse type ANC is proposed in order to solve the problem. The proposed ANC uses the filter which has the inverse transfer function of a secondary path before the secondary path. Whereas the filtered-x algorithm controls a primary path and a secondary path simultaneously by an adaptive filter, the pre-inverse type ANC can control a primary path and a secondary path independently. Therefore the proposed ANC is always stable. However, the adaptive filter estimating a secondary path converges on a solution with bias due to disturbance. Thus, the bias free adaptive algorithm is also proposed. The proposed adaptive algorithm takes advantage of the independence between the input signal and disturbance.
Keywords :
active noise control; adaptive filters; transfer functions; active noise control; adaptive filter; bias free preinverse adaptive system; filtered-x algorithm; inverse transfer function; modeling error; preinverse type ANC; primary path; secondary path; Adaptation models; Adaptive filters; Filtering algorithms; Noise; Noise reduction; Transversal filters;
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-0218-0
DOI :
10.1109/ISCAS.2012.6272010