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Quiet Zone Enhancement for a Target Location Using an Improved Virtual Sensing Algorithm
- Source :
- Electronics; Volume 6; Issue 4; Pages: 76, Electronics, Vol 6, Iss 4, p 76 (2017)
- Publication Year :
- 2017
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2017.
-
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.
- Subjects :
- Engineering
Computer Networks and Communications
lcsh:TK7800-8360
02 engineering and technology
01 natural sciences
Least mean squares filter
Error signal
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
010301 acoustics
active noise control (ANC)
virtual sensing
quiet zone
Active noise control
business.industry
lcsh:Electronics
Hardware and Architecture
Control and Systems Engineering
Signal Processing
Path (graph theory)
Unknown primary
020201 artificial intelligence & image processing
business
Algorithm
Quiet zone
Subjects
Details
- Language :
- English
- ISSN :
- 20799292
- Database :
- OpenAIRE
- Journal :
- Electronics; Volume 6; Issue 4; Pages: 76
- Accession number :
- edsair.doi.dedup.....2d24a301f7fd9e2f3add7d73c4018dbb
- Full Text :
- https://doi.org/10.3390/electronics6040076