Evaluation of an Actuator Placement Method for Active Noise Control Applications

1998 ◽  
Vol 120 (4) ◽  
pp. 875-879 ◽  
Author(s):  
K. Naghshineh ◽  
L. P. Heck ◽  
J. A. Olkin ◽  
J. W. Kamman
Keyword(s):  
Noise Control ◽  
Broad Band ◽  
Active Noise Control ◽  
Performance Measure ◽  
Numerical Results ◽  
Selection Algorithm ◽  
Qr Algorithm ◽  
Active Noise ◽  
Improved Performance ◽  
Actuator Placement

In our previous work, we developed a new actuator placement algorithm that is capable of selecting the best actuator placement for active noise control problems over a broad band of frequencies. The actuator selection algorithm is based on a novel extension of the Householder QR subset selection algorithm. The QR algorithm uses the l2 matrix norm as a performance measure. In this paper, numerical results generated by that algorithm are compared with numerical results generated using five different performance measures. These measures, which are based on different matrix norms and functions of the actuator frequency responses, yield actuator placements that result in active noise control systems with improved performance and robustness.

Analysis and enhancement of narrowband active noise control systems with disturbance

2016 ◽  
Vol 24 (11) ◽  
pp. 2247-2260
Author(s):  
Cheng-Yuan Chang ◽  
Sen M. Kuo ◽  
Chung-Ying Ho ◽  
Kuo-Kai Shyu
Keyword(s):  
Control Systems ◽  
Adaptive Filters ◽  
Noise Control ◽  
Transfer Functions ◽  
Active Noise Control ◽  
Active Noise ◽  
Improved Performance ◽  
Modified Algorithm ◽  
Transient And Steady State ◽  
Steady State Performance

The disturbance at error sensors will degrade the performance of active noise control (ANC) systems, resulting in slow convergence and decreased noise reduction problems. This paper analyzes the disturbance effects on narrowband ANC (NANC) systems and proposes modified algorithm to enhance both the transient and steady-state performance. A delayless bandpass filterbank is designed to eliminate out-of-band disturbance in the generated individual error signals for updating the corresponding adaptive filters. The theoretical analysis and improved performance are verified by computer simulations using measured transfer functions from the experimental setup.

Implementation of coherence-based-selection multi-channel wireless Active Noise Control in headphone

2021 ◽  
Vol 263 (4) ◽  
pp. 1945-1953
Author(s):  
Xiaoyi Shen ◽  
Dongyuan Shi ◽  
Woon-Seng Gan ◽  
Santi Peksi
Keyword(s):  
Numerical Simulations ◽  
Noise Reduction ◽  
Noise Control ◽  
Noise Source ◽  
Reference Signal ◽  
Active Noise Control ◽  
Selection Algorithm ◽  
Noise Sources ◽  
Active Noise ◽  
Reference Signals

Active noise control (ANC) headphone is widely used to attenuate the noise around human' s ear. The microphone mounted on the conventional ANC headphones collected the mixed reference signals when more than one noise sources are often present in the surrounding. In this case, the uncorrelated noise sources involved in the mixed reference usually deteriorate the noise reduction performance of the ANC headphones. To solve this problem, wireless microphones are proposed to install close to each potential noise source in the environment. The microphones pick up the clean reference signals and transmit them to the ANC controller embedded in the headphones with time-advance wirelessly. Every reference signal selected by a coherence-based-selection algorithm is provided individual control filter in each ear. Each control filter updated by using a single clean reference offers better noise reduction performance for ANC headphones. Furthermore, numerical simulations and real-time experiment results in this paper demonstrate the improvement of the proposed method compared with conventional ANC headphones.

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