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Active Noise Control Around Human Head

  • Thomas KletschkowskiEmail author
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 56)

Abstract

Increasing industrialization leads to growing noise pollution of the environment. Continuous noise cannot only make a person deaf, it also acts as a factor for stress and can raise systolic blood pressure. One particular problem is noise that keeps a person off from restorative sleep. The application of ANC might be a proper approach to reduce such disturbances, and is motivated by the request to sleep with open windows even in areas with a high volume of traffic. One solution is to create a (at least local) zone of silence around the head of a sleeping person by (at least local) ANC. A particular approach is discussed in the upcoming chapter. It reports on the first design step of a local ANC-system for adaptive control of broadband disturbances around human head. This is another example for the application of the ANC-system design methodology (proposed in Chap.  8) and the usage of the ANC-system design tools (discussed in Chap.  7). The approach is basically similar to other investigations, compare e.g. (Rafaely et al. in J. Acoust. Soc. Am. 116(2):787–793, 1999). However, the long-term objective is to develop a simple, small, portable, and highly effective ANC-system to be utilized in a multitude of situations with various noise exposures. The project described in this chapter was carried out at the Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg between September 2006 and March 2008, see (Kletschkowski et al. in Aktive Lärmminderung in Wohn- und Schlafräumen. Final Report for a Research Project (Az: 24483)—financed by the Deutsche Bundesstiftung Umwelt, Helmut-Schmidt-University/University of the Federal Armed Forces Hamburg, 2008). Financial support by the Deutsche Bundesstiftung Umwelt is gratefully acknowledged.

Keywords

Error Sensor Anechoic Chamber Transfer Path Secondary Path Active Noise Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Department of Mechanical Engineering, MechatronicsHelmut-Schmidt-University/University of the Federal Armed Forces HamburgHamburgGermany

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