Title :
Convergence Analysis of Narrowband Feedback Active Noise Control System With Imperfect Secondary Path Estimation
Author :
Wang, L.V. ; Woon-Seng Gan ; Khong, Andy W. H. ; Kuo, S.M.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
In many practical active noise control (ANC) applications, feedback structure using estimated secondary path to synthesize reference signal is preferred under various conditions. This paper analyzes the convergence behavior of the narrowband feedback ANC systems with imperfect secondary path estimation. Existing approaches do not include the analysis of the reference signal synthesis errors due to its interrelated feedback nature. In this paper, the reconstruction error is modeled using the secondary path estimation error. Using this model, the effects of estimation errors on the convergence of the feedback ANC system is investigated. To further examine the effects of error in the filtered- x and filtered- y signal paths, these two paths are analyze separately to isolate the effects caused by these paths. Computer simulations are conducted to verify the theoretical analysis presented in the paper.
Keywords :
active noise control; filtering theory; computer simulation; convergence analysis; convergence behavior; feedback structure; filtered-x signal path; filtered-y signal path; imperfect secondary path estimation; interrelated feedback nature; narrowband feedback ANC systems; narrowband feedback active noise control system; reconstruction error; reference signal synthesis; reference signal synthesis errors; secondary path estimation error; theoretical analysis; Adaptive filters; Convergence; Estimation; Feedforward neural networks; Filtering algorithms; Noise; Sensors; Active noise control (ANC); convergence analysis; feedback ANC; filtered-${rm x}$ least-mean-square (FXLMS) algorithm; secondary path estimation;
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
DOI :
10.1109/TASL.2013.2277934