Adaptive signal processing algorithms for creating spatial zones of quiet |
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| Affiliation: | 1. Unitec Institute of Technology, 1 Carrington Rd., Mt Albert, Auckland, New Zealand;2. The University of Auckland, Auckland, New Zealand;1. Blida University—LATSI Laboratory, 09000, Blida, Algeria;2. University of Rennes—IRISA/ENSSAT, 22305 Lannion, France;1. Institute of Physics, University of Oldenburg, Germany;2. School of Electronic and Information Engineering, Dalian University of Technology, China;1. Department of Naval Architecture and Ocean Engineering, Research Institute of Marine Systems Engineering, Seoul National University, Republic of Korea;2. Department of Naval Architecture and Marine Engineering, Changwon National University, Republic of Korea;3. Agency for Defense Development, Republic of Korea;1. College of Information Engineering, Shenzhen University, Shenzhen 518060, China;2. Shenzhen Key Laboratory of Media Security, Shenzhen 518060, China;3. School of Information Management, Sun Yat-sen University, Guangzhou 510006, China;1. Dept. of Computer Science and Engineering, IIT Madras, Chennai, India;2. Idiap, Institute de Research, Switzerland |
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| Abstract: | Available adaptive active noise control (ANC) algorithms can only minimize the noise level at a point that an error microphone is placed. Consequently, a zone of quiet around this microphone is produced as a byproduct. However, they cannot technically control or, even, monitor the noise level within the zone of quiet unless they use several sensors. They cannot also control the shape and the extension of the quiet zone by using only the error microphone. This paper develops a signal processing framework for the derivation of adaptive ANC algorithms that can directly create a controllable zone of quiet in monochromatic noise fields using a single error microphone. It is shown that by adding a filter to the standard ANC structure, a controllable zone of quiet is created. The transfer function of this filter is obtained using an accurate mathematical analysis. It is also shown that the extension of the zone of quiet can be controlled by tuning this filter. The implementation of the proposed system requires no additional hardware, rather than those required for traditional ANC systems. The validity of the results are discussed by using numerical analysis. Also, the performance of the proposed system is practically verified. |
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| Keywords: | Adaptive signal processing Active noise control Zone of quiet FxLMS algorithm |
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