Title :
A multidimensional Householder QR algorithm for transducer placement in active noise control systems
Author_Institution :
SRI Int., Menlo Park, CA, USA
Abstract :
This paper advances the state of the art in the selection of minimal configurations of sensors and actuators for active noise control systems. The method extends previous transducer selection work by (1) presenting a unified treatment of the selection and placement of large numbers of sensors and actuators in a smart structure, (2) developing computationally efficient techniques to select the best sensor-actuator pairs for multiple unknown force disturbances exciting the structure, (3) selecting the best sensors and actuators over multiple frequencies, and (4) providing bounds on the performance of the transducer selection algorithms. The approach is based on a novel multidimensional Householder QR factorization algorithm applied to the frequency response matrices that define the noise control problem. This paper presents the theoretical development of the method
Keywords :
acoustic noise; acoustic transducer arrays; active noise control; array signal processing; frequency response; matrix algebra; active noise control systems; actuators; computationally efficient techniques; frequency response matrices; minimal configurations; multidimensional Householder QR factorization algorithm; multiple frequencies; multiple unknown force disturbances; noise control problem; sensor-actuator pairs selection; sensors; smart structure; transducer placement; transducer selection; transducer selection algorithms performance; Active noise reduction; Control systems; Force sensors; Frequency; Intelligent actuators; Intelligent sensors; Intelligent structures; Multidimensional systems; Sensor systems; Transducers;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 1995., IEEE ASSP Workshop on
Conference_Location :
New Paltz, NY
Print_ISBN :
0-7803-3064-1
DOI :
10.1109/ASPAA.1995.482947
