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An Active Noise Control System for Reducing Siren Noise Inside the Ambulance

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Design Tools and Methods in Industrial Engineering III (ADM 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Siren noise constitutes a nuisance and could be harmful for ambulance personnel and patients. Several studies proposed simulated Active Noise Control (ANC) solutions to attenuate siren noise inside an ambulance. In this paper an implementation of a feedforward ANC system based on the classic FxLMS algorithm is presented, running it on a real-time hardware platform to test the efficacy of such solution in a laboratory environment. Algorithms are developed in MATLAB Simulink environment, and run on Speedgoat target hardware. The results of these experiments are presented, and while discussing our findings, the experienced limitations are described, and further work is suggested.

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Notes

  1. 1.

    In Fig. 2, please note \(\hat{S}(z)\) is the aforementioned filter added by Dennis R. Morgan.

  2. 2.

    The path the sounds travels between the secondary source, where the antinoise is produced, and the error microphone, where the cancellation has to be realised.

  3. 3.

    Used to study the siren signal, which was then synthesized.

  4. 4.

    Placed at the distance simulating the ambulance driver’s headrest, with two error microphones placed in such a way to simulate the location of the driver’s ears (the target area for our cancellation, ZoS).

  5. 5.

    Internally generated by our target computer.

  6. 6.

    As shown in Fig. 2 the additional filter is to be applied at the reference signal \(x(n)\), coming directly from the siren in this case.

  7. 7.

    bringing the overall behaviour towards instability.

References

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Acknowledgement

The publication was made by a researcher with a research contract co-funded by the European Union - PON Research and Innovation 2014-2020 in accordance with Article 24, paragraph 3a), of Law No. 240 of December 30, 2010, as amended and Ministerial Decree No. 1062 of August 10, 2021.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Florence, via S. Marta, 3, Florence, Italy

    Massimo G. Buttarazzi, Francesco Borchi, Alessandro Mambelli, Monica Carfagni, Lapo Governi & Luca Puggelli

Authors
  1. Massimo G. Buttarazzi
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  2. Francesco Borchi
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  3. Alessandro Mambelli
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  4. Monica Carfagni
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  5. Lapo Governi
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  6. Luca Puggelli
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Corresponding author

Correspondence to Massimo G. Buttarazzi .

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Editors and Affiliations

  1. Department of Industrial Engineering, University of Florence, Florence, Italy

    Monica Carfagni

  2. Department of Industrial Engineering, University of Florence, Florence, Italy

    Rocco Furferi

  3. Department of Industrial and Information Engineering and Economics, University of L'Aquila, L’Aquila, Italy

    Paolo Di Stefano

  4. Department of Industrial Engineering, University of Florence, Florence, Italy

    Lapo Governi

  5. Department of Engineering “Enzo Ferrari”, University of Modena and Reggio Emilia, Modena, Italy

    Francesco Gherardini

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Buttarazzi, M.G., Borchi, F., Mambelli, A., Carfagni, M., Governi, L., Puggelli, L. (2024). An Active Noise Control System for Reducing Siren Noise Inside the Ambulance. In: Carfagni, M., Furferi, R., Di Stefano, P., Governi, L., Gherardini, F. (eds) Design Tools and Methods in Industrial Engineering III. ADM 2023. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-52075-4_31

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  • DOI: https://doi.org/10.1007/978-3-031-52075-4_31

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