Open AccessAnalysis of Techniques for On-Line Secondary Path Modeling in ANC Systems
Author(s) -
E. O. Lara Alemán,
Av. Patria Uniiversidad Autónoma de Guadalajara,
F. Sandoval-Ibarra,
S. Ortega Cisneros
Publication year - 2020
Publication title -
international journal emerging technology and advanced engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-2459
DOI - 10.46338/ijetae1220_02
Subject(s) - attenuation , computer science , active noise control , convergence (economics) , path (computing) , line (geometry) , stability (learning theory) , algorithm , noise (video) , critical path method , error analysis , noise reduction , mathematics , artificial intelligence , machine learning , engineering , systems engineering , physics , geometry , optics , economics , image (mathematics) , programming language , economic growth
The on-line secondary path modeling of an ANC systems is the most relevant issue. Currently there are algorithms to obtain fast convergence, adequate stability and minimum error. In this article, the properties of these algorithms are analyzed, as well as the architectures for their possible implementation in hardware. The performance comparison is carried out with behavioral simulation, and its suitability for active noise cancellation is evaluated. Based on the results of the analysis, a new algorithm is proposed, suitable for its implementation in hardware. The results obtained present an attenuation of the order of -31dB, which is the highest attenuation reported so far