Broadband Spatially Feedforward Active Noise Control Algorithms Using a Comb Filter

2003 ◽  
Vol 125 (1) ◽  
pp. 18-23
Author(s):  
Mingsian R. Bai ◽  
Jienwen Lai

A controller composed of a nonrecursive filter and a recursive filter is used to approximate the ideal controller for a spatially feedforward duct ANC problem. The nonrecursive part represents the dynamics of the transducer, whereas the recursive part is in the form of a comb filter. The parameters of the comb filter are obtained from the impulse response of the controller by using the least-square method. The comb filter is then cascaded with the nonrecursive part implemented as either a fixed filter or an adaptive filter. In the latter approach, two types of LMS-based algorithms are used. The proposed algorithms are implemented on the platform of a digital signal processor. Experimental results showed that the approximated controller attained 17 dB maximal attenuation in the frequency band 200∼600Hz.

2007 ◽  
Vol 129 (5) ◽  
pp. 567-576 ◽  
Author(s):  
Mingsian R. Bai ◽  
Jianliang Lin

This paper seeks to enhance the quality of spatial sound reproduction by integrating two advanced signal processing technologies, active noise control (ANC) and three-dimensional (3D) audio, to a headset. The ANC module of the headset is designed based on the quantitative feedback theory (QFT), which is a unified theory that emphasizes the use of feedback for achieving the desired system performance tolerances in the face of plant uncertainties and plant disturbances. Performance, stability, and robustness of the closed-loop system have been taken into account in the loop-shaping procedure within a general framework of the QFT. On the other hand, 3D audio processing algorithms including the head-related-transfer-function and the reverberator are realized on the platform of a fixed-point digital signal processor. Listening tests were conducted to evaluate the proposed system in terms of various subjective performance indices. The experimental results revealed that the 3D headset is capable of delivering superior rendering quality of localization and spaciousness, with the aid of the ANC module.


Author(s):  
Harin Pongpairoj ◽  
Vineet Chaparala ◽  
Farzad Pourboghrat

In this paper, a combination of a novel recursive subspace identification and receding horizon optimal control is developed for real-time implementation, via a digital signal processor (DSP), using only input-output measurements. The proposed recursive strategy can be parameterized in terms of recursive approximation of subspace intersections and adaptive estimation of state sequences. The proposed integrated modeling-control strategy can be implemented, in real time, with minimum knowledge of the controlled system. Actual hardware experiments on feedback active noise control problem in a duct have been carried out in order to verify the performance of the proposed methodology.


2013 ◽  
Vol 753-755 ◽  
pp. 2282-2285
Author(s):  
Dong Zheng ◽  
Hui Xing Zhou ◽  
Han Wu ◽  
Chao Yang Zhang

A non-contact online measuring system is developed to measure the contour error of the middle-convex and varying ellipse piston. A high accuracy laser displacement sensor is used to measure the elliptical profiles of the piston, and a measuring collector is designed based on digital signal processor (DSP) TMS320F28335 to ensure strict correspondence between the angles and the radii data of the sampling points. The measured data is analyzed with least square method to calculate the contour error of the pistons cross section. The reliability of the measuring system is proved by experiment.


1999 ◽  
Vol 32 (2) ◽  
pp. 8746-8751
Author(s):  
Yasunori Sakakibara ◽  
Takashi Shimizu ◽  
Fan Jiang ◽  
Akira Sano

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