Title :
Identification of the parametric array loudspeaker with a volterra filter using the sparse NLMS algorithm
Author :
Chuang Shi ; Kajikawa, Yoshinobu
Author_Institution :
Dept. of Electr. & Electron. Eng., Kansai Univ., Suita, Japan
Abstract :
Volterra filters can be applied to a wide range of nonlinear systems, keeping only the low order kernels to yield a good approximation. The parametric array loudspeaker (PAL), as a weak nonlinear acoustic system, is an attractive directional sound reproduction device. Volterra filters have been adopted in the linearization system of the PAL that efficiently reduces the nonlinear distortion with no need of solving the nonlinear acoustic equation. In this paper, the ultrasound-to-ultrasound Volterra filter is proposed, being inspired by the nonlinear acoustic principle, to provide a better systematic representation of the PAL. Experiment results are presented to prove the effectiveness of the proposed approach, where the sparse NLMS algorithm is carried out in the identification.
Keywords :
least mean squares methods; linearisation techniques; loudspeakers; nonlinear acoustics; nonlinear distortion; nonlinear filters; sound reproduction; PAL identification; linearization system; nonlinear acoustic equation; nonlinear acoustic system; nonlinear distortion; normalised least mean square; parametric array loudspeaker identification; sound reproduction device; sparse NLMS algorithm; ultrasound-to-ultrasound Volterra filter; Delays; Filtering algorithms; Loudspeakers; Parametric array loudspeaker; Volterra filter; sparse NLMS algorithm;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178596