Title :
Robust adaptive algorithms for active noise and vibration control
Author :
Fan, Hong ; Vemuri, Ram
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Abstract :
Adaptive algorithms are described which simultaneously estimate and track the two transfer functions online. No random noise generator is required. Since both transfer functions are estimated, the resulting adaptive algorithms are much more robust than previous ones in that moving the transducer and/or the actuator around does not affect the performance much. Real-time implementation results for one of the algorithms presented are compared with results obtained using the LMS algorithm. It is found that the performance of the LMS algorithm depends greatly on the number of taps used, whereas the new algorithm is almost unaffected by this factor. This demonstrates the robustness of the new algorithm
Keywords :
acoustic signal processing; adaptive filters; computerised signal processing; interference suppression; real-time systems; vibration control; DSP chips; LMS algorithm; active noise control; adaptive algorithms; adaptive filters; real-time systems; vibration control; Active noise reduction; Actuators; Adaptive algorithm; Least squares approximation; Noise generators; Noise robustness; Robust control; Transducers; Transfer functions; Vibration control;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location :
Albuquerque, NM
DOI :
10.1109/ICASSP.1990.116152