Ultra-broadband local active noise control with remote acoustic sensing

Author:

Xiao TongORCID,Qiu Xiaojun,Halkon Benjamin

Abstract

AbstractOne enduring challenge for controlling high frequency sound in local active noise control (ANC) systems is to obtain the acoustic signal at the specific location to be controlled. In some applications such as in ANC headrest systems, it is not practical to install error microphones in a person’s ears to provide the user a quiet or optimally acoustically controlled environment. Many virtual error sensing approaches have been proposed to estimate the acoustic signal remotely with the current state-of-the-art method using an array of four microphones and a head tracking system to yield sound reduction up to 1 kHz for a single sound source. In the work reported in this paper, a novel approach of incorporating remote acoustic sensing using a laser Doppler vibrometer into an ANC headrest system is investigated. In this “virtual ANC headphone” system, a lightweight retro-reflective membrane pick-up is mounted in each synthetic ear of a head and torso simulator to determine the sound in the ear in real-time with minimal invasiveness. The membrane design and the effects of its location on the system performance are explored, the noise spectra in the ears without and with ANC for a variety of relevant primary sound fields are reported, and the performance of the system during head movements is demonstrated. The test results show that at least 10 dB sound attenuation can be realised in the ears over an extended frequency range (from 500 Hz to 6 kHz) under a complex sound field and for several common types of synthesised environmental noise, even in the presence of head motion.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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2. Performance evaluation of an active headrest system using a filtered-x least mean square/fourth algorithm with virtual sensing;The Journal of the Acoustical Society of America;2023-11-01

3. Research on Application Technology of Local Sound Field Virtual Control Technology in Ship Cabin Noise Reduction;2023 IEEE 11th International Conference on Computer Science and Network Technology (ICCSNT);2023-10-21

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