Title :
Convergence analysis of narrow-band active noise control system
Author :
Kuo, Sen M. ; Tahernehadi, M. ; Hao, Wenge
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
fDate :
2/1/1999 12:00:00 AM
Abstract :
This paper presents the convergence analysis of the filtered-X least mean square algorithm for narrow-band active noise control with direct-form realization. Theoretical bounds are established for the maximum eigenvalue and the eigenvalue spread of the reference signal´s covariance matrix, which in turn provide insight into algorithm convergence and optimization. In order to improve the convergence speed, amplitudes of sinusoidal reference signals are chosen to be the inverse of the magnitude responses of the secondary path at the corresponding frequencies
Keywords :
acoustic signal processing; active noise control; adaptive filters; adaptive signal processing; convergence of numerical methods; covariance matrices; least mean squares methods; LMS algorithm; algorithm convergence; algorithm optimization; convergence analysis; convergence speed improvement; direct-form realization; eigenvalue spread; filtered-X least mean square algorithm; maximum eigenvalue; narrowband active noise control system; reference signal covariance matrix; sinusoidal reference signal amplitudes; Acoustic noise; Active noise reduction; Adaptive filters; Control systems; Convergence; Frequency; Microphones; Narrowband; Noise cancellation; Noise level;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on