Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity

Low frequency noise is an environmental pollution which affects human psychologically and physiologically. Low frequency noise of excessive amplitude could cause hearing loss, negative social behaviours, sleep and cardiovascular diseases. There are two methods to cancel or control noise which are ac...

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Main Author:	Dehkordi, Sepehr Ghasemi
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Algorithms
Online Access:	http://psasir.upm.edu.my/id/eprint/64169/1/FK%202014%20112IR.pdf
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spelling	my-upm-ir.641692018-05-30T08:13:48Z Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity 2014-08 Dehkordi, Sepehr Ghasemi Low frequency noise is an environmental pollution which affects human psychologically and physiologically. Low frequency noise of excessive amplitude could cause hearing loss, negative social behaviours, sleep and cardiovascular diseases. There are two methods to cancel or control noise which are active and passive methods. Passive method involves the use of enclosures, barriers and silencers but is ineffective at low frequency noise (below 500Hz). An active method which has received much attention is the use of Active Noise Control (ANC) system which involves an electro acoustic system that cancels unwanted noise using the principle of superposition. Adaptive algorithms are prevalently applied in the design of nonlinear active noise control (ANC) system. The most important nonlinearity in ANC is the saturation effect produced by the electro-acoustical sensors and transducers. The dominant saturation nonlinearity in the transducers is the loudspeaker which can be represented by a Wiener model. An effective solution to mitigate such nonlinearly distortion is to employ the Nonlinear Filtered-X Least Mean Square (NLFXLMS) algorithm. The controller compensates the nonlinearity using a model of the saturation effect represented by Scaled Error Function (SEF). However, the NLFXLMS is limited by two practical issues such that the degree of nonlinearity has to be known in advance and the SEF cannot be evaluated in real time. In this work, the NLFXLMS algorithm is modified by incorporating Tangential Hyperbolic Function (THF) to model the saturation effect of the loudspeaker. The proposed THF-NLFXLMS algorithm models the Wiener secondary path and applies the estimated degree of nonlinearity of the nonlinear secondary path in the control algorithm design. The results show that the Wiener secondary path with saturation nonlinearity represented by SEF can be modelled by THF with a certain degree of accuracy and yield a good estimate of the degree of nonlinearity can be obtained. The performance of the proposed algorithm is comparable with the benchmark NLFXLMS and superior to the conventional FXLMS with the proposed algorithm. Algorithms 2014-08 Thesis http://psasir.upm.edu.my/id/eprint/64169/ http://psasir.upm.edu.my/id/eprint/64169/1/FK%202014%20112IR.pdf text en public masters Universiti Putra Malaysia Algorithms
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Algorithms
spellingShingle	Algorithms Dehkordi, Sepehr Ghasemi Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
description	Low frequency noise is an environmental pollution which affects human psychologically and physiologically. Low frequency noise of excessive amplitude could cause hearing loss, negative social behaviours, sleep and cardiovascular diseases. There are two methods to cancel or control noise which are active and passive methods. Passive method involves the use of enclosures, barriers and silencers but is ineffective at low frequency noise (below 500Hz). An active method which has received much attention is the use of Active Noise Control (ANC) system which involves an electro acoustic system that cancels unwanted noise using the principle of superposition. Adaptive algorithms are prevalently applied in the design of nonlinear active noise control (ANC) system. The most important nonlinearity in ANC is the saturation effect produced by the electro-acoustical sensors and transducers. The dominant saturation nonlinearity in the transducers is the loudspeaker which can be represented by a Wiener model. An effective solution to mitigate such nonlinearly distortion is to employ the Nonlinear Filtered-X Least Mean Square (NLFXLMS) algorithm. The controller compensates the nonlinearity using a model of the saturation effect represented by Scaled Error Function (SEF). However, the NLFXLMS is limited by two practical issues such that the degree of nonlinearity has to be known in advance and the SEF cannot be evaluated in real time. In this work, the NLFXLMS algorithm is modified by incorporating Tangential Hyperbolic Function (THF) to model the saturation effect of the loudspeaker. The proposed THF-NLFXLMS algorithm models the Wiener secondary path and applies the estimated degree of nonlinearity of the nonlinear secondary path in the control algorithm design. The results show that the Wiener secondary path with saturation nonlinearity represented by SEF can be modelled by THF with a certain degree of accuracy and yield a good estimate of the degree of nonlinearity can be obtained. The performance of the proposed algorithm is comparable with the benchmark NLFXLMS and superior to the conventional FXLMS with the proposed algorithm.
format	Thesis
qualification_level	Master's degree
author	Dehkordi, Sepehr Ghasemi
author_facet	Dehkordi, Sepehr Ghasemi
author_sort	Dehkordi, Sepehr Ghasemi
title	Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
title_short	Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
title_full	Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
title_fullStr	Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
title_full_unstemmed	Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
title_sort	nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity
granting_institution	Universiti Putra Malaysia
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/64169/1/FK%202014%20112IR.pdf
_version_	1747812289842511872

Nonlinear adaptive algorithm for active noise control with loudspeaker nonlinearity

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