Abstract
Generating a quiet zone at a target location is the ultimate goal of active noise control (ANC). Generally, the best noise cancellation is achieved at the locations of error sensors. However, the distribution of physical error sensors at a given location is not always convenient or feasible. To overcome this challenge, a number of virtual sensing algorithms for ANC have been researched. Using the physical error signals and knowledge of the system, the adaptive least mean square (LMS) virtual sensing algorithm estimates the error signal at a location that is remote from the physical error sensor, referred to as the virtual location. It achieves excellent performance under the assumption that the unknown primary path is fixed, but its performance decreases significantly if the path is constantly changing. This paper presents a real-time ANC system with an improved virtual sensing algorithm to solve this problem. The proposed system was tested to enhance the quiet zone in a constantly changing environment; an enhanced quiet zone was created, and the noise cancellation, especially at the target location, obviously improved.
Highlights
IntroductionActive noise control (ANC) cancels primary noise by generating and combining anti-noise (with equal amplitude but opposite phase) at the location of the error microphone
Active noise control (ANC) cancels primary noise by generating and combining anti-noise at the location of the error microphone
The adaptive least mean square (LMS) virtual sensing algorithm with a simple simple structure and good performance was introduced by Cazzolato [6]
Summary
Active noise control (ANC) cancels primary noise by generating and combining anti-noise (with equal amplitude but opposite phase) at the location of the error microphone. The best noise cancellation of a quiet zone is achieved at the locations of error sensors, and the distribution of physical error sensors should be close to the target location [2,3,4,5]. This might not always be a feasible solution. ANC an improved virtual sensing the proposed algorithm effectively eliminates the influence of awith constantly changing primary path. Paper is as follows: Section 2 presents the design of real-time noiseThe cancellation at the of target multichannel. The organization of this paper is as follows: Section 2LMS presents thesensing design of real-time is multichannel and the improved adaptive virtual sensing algorithm is proposed.
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