Implementation challenges for feedback active noise cancellation

Krishnamurthy, Nitish; Mansour, M.; Cole, Randy

doi:10.1109/icassp.2012.6288212

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Some future challenges of ANC have been discussed in [56,287]. In this section, we present a number of promising directions for future ANC research from other perspectives.…”

Section: Future Research Challengesmentioning

confidence: 99%

A survey on active noise control in the past decade–Part II: Nonlinear systems

Yin

Lamare

et al. 2021

Signal Processing

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“…Some future challenges of ANC have been discussed in [56,287]. In this section, we present a number of promising directions for future ANC research from other perspectives.…”

Section: Future Research Challengesmentioning

confidence: 99%

A survey on active noise control in the past decade–Part II: Nonlinear systems

Yin

Lamare

et al. 2021

Signal Processing

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“…Leading companies like BOSE, SONY and Apple have adopted proximity sensors, offering quick and accurate responses in their ANC headphones to monitor the states of wearing and removal [20][21][22], and this approach can replace algorithmic detection from an engineering application perspective, reducing the algorithm's consumption of system power. For the latter case, Ti's engineer Krishnamurthy et al [23] used the average result of 10 real subjects to obtain the secondary path transfer function and employed a smaller update coefficient to handle the greater variance. Benois and Zolzer [24] constructed different weighting coefficient constraints using real secondary path data from two dummy heads and six subjects wearing the headphones at three different angles and used the sequential quadratic programming (SQP) algorithm [25] to derive the FIR filter and compared the results.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Constraint on Headphone Secondary Path Function for Designing Cascade Biquad Feedback Controller with Improved Noise Reduction Performance

Hua,

Peng

2024

Applied Sciences

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The uncertainty in the secondary path of active noise control (ANC) headphones affects the waterbed effect and stability of the feedback system. This study focuses on the uncertainty of the secondary path when real users wear headphones and proposes a new uncertainty constraint based on the measured results of the secondary path transfer function under different wearing conditions of a dummy head and limited subjects. This constraint and a cascaded second-order infinite impulse response filter with fixed coefficients are used to formulate a control strategic function, which is optimized using the Improved Grey Wolf Optimizer (IGWO) algorithm to obtain the optimal controller with better noise reduction performance. The proposed method and simulation model are validated based on the experimental test results. The results demonstrate that the safety factor and waterbed suppressing factor contained in the proposed uncertainty constraint ensure more stable noise reduction and effective suppression of the waterbed effect for new subjects without a priori data.

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“…En este documento se presenta el desarrollo del trabajo de investigación que ha permitido el diseño e implementación de un sistema digital que permite control activo de campo sonoro en 3 dimensiones, herramienta necesaria para varios tipos de aplicaciones en las que se requiere generar un campo sonoro deseado, y en las que se han desarrollado múltiples trabajos de investigación en la actualidad [5], como protección auditiva, reducción de la fatiga del oyente y sistemas de control de vibraciones.…”

Section: Capítulo 1 Introducciónunclassified

Sistema digital para el control activo de un campo sonoro en 3 dimensiones

Suárez¹

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En este documento se presenta el desarrollo del trabajo de investigación que ha permitido el diseño e implementación de un sistema digital que permite control activo de campo sonoro en 3 dimensiones, mediante la implementación del algoritmo de control FxLMS con múltiples entradas. En efecto, la principal aplicación a la que se enfoca este proyecto, es diseñar un sistema digital que permita la generación de un campo sonoro, que mediante el principio de superposición de ondas permita la eliminación de ruido. Existen métodos tradicionales de control pasivo de ruido que son eficientes en la eliminación de ruidos de alta frecuencia, sin embargo no son eficientes en ruidos de baja frecuencia y si son enormes, pesados y demasiado costosos, por lo cual es más útil usar sistemas de control activo de ruido (ANC). Frente a lo anterior, uno de los algoritmos más conocidos, comúnmente usados y más referenciados en artículos, para este tipo de sistemas ANC es el Filtered-x Least Mean Square (FxLMS), razón por la cual ha sido seleccionado para su implementación en este proyecto. La implementación permite el uso de 1 micrófono de referencia, 18 micrófonos de error, y una salida de control. De acuerdo a los recursos FPGA disponibles, es posible aumentar la cantidad de entradas y salidas.

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Implementation challenges for feedback active noise cancellation

Cited by 4 publications

References 4 publications

A survey on active noise control in the past decade–Part II: Nonlinear systems

A survey on active noise control in the past decade–Part II: Nonlinear systems

Uncertainty Constraint on Headphone Secondary Path Function for Designing Cascade Biquad Feedback Controller with Improved Noise Reduction Performance

Sistema digital para el control activo de un campo sonoro en 3 dimensiones

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