A Non-parametric Method for Online Secondary Path Estimation in Active Noise Control Systems

School of Engineering

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

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A Non-parametric Method for Online Secondary Path Estimation in Active Noise Control Systems. / Mohamady, Samira; Niu, Yanrong ; Montazeri, Allahyar.
2020. Paper presented at DAGA 2020, Hannover, Germany.

Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

Bibtex

@conference{43c8e2c9e1b34a3a810a941417fa9398,

title = "A Non-parametric Method for Online Secondary Path Estimation in Active Noise Control Systems",

abstract = "Online secondary path estimation plays an important role in design ofactive noise control (ANC) systems and the final achievable performance for the overall system. However, due to cross coupling and the effect of nonlinearities in the system, the results are usually poor, and the problem requires specific attentions. In this study, we aim to investigate the impact of finite measured multi-sine data as an input excitation signal to find the best linear approximation for the secondary path estimation.The approach relies on robust local polynomial method as an advanced technique for non-parametric measurement of the room impulse responses. In this way, it is possible to quantify various sources of uncertainties such as measurement noise, leakage, and nonlinear distortions by deeper analysis of the results. The information can be used to understand the situation of ANC system and improve the online the secondary path estimation, subsequently.",

author = "Samira Mohamady and Yanrong Niu and Allahyar Montazeri",

year = "2020",

month = mar,

day = "16",

language = "English",

note = "DAGA 2020 ; Conference date: 16-03-2020 Through 19-03-2020",

url = "https://www.daga2020.de/en/",

}

RIS

TY - CONF

T1 - A Non-parametric Method for Online Secondary Path Estimation in Active Noise Control Systems

AU - Mohamady, Samira

AU - Niu, Yanrong

AU - Montazeri, Allahyar

PY - 2020/3/16

Y1 - 2020/3/16

N2 - Online secondary path estimation plays an important role in design ofactive noise control (ANC) systems and the final achievable performance for the overall system. However, due to cross coupling and the effect of nonlinearities in the system, the results are usually poor, and the problem requires specific attentions. In this study, we aim to investigate the impact of finite measured multi-sine data as an input excitation signal to find the best linear approximation for the secondary path estimation.The approach relies on robust local polynomial method as an advanced technique for non-parametric measurement of the room impulse responses. In this way, it is possible to quantify various sources of uncertainties such as measurement noise, leakage, and nonlinear distortions by deeper analysis of the results. The information can be used to understand the situation of ANC system and improve the online the secondary path estimation, subsequently.

AB - Online secondary path estimation plays an important role in design ofactive noise control (ANC) systems and the final achievable performance for the overall system. However, due to cross coupling and the effect of nonlinearities in the system, the results are usually poor, and the problem requires specific attentions. In this study, we aim to investigate the impact of finite measured multi-sine data as an input excitation signal to find the best linear approximation for the secondary path estimation.The approach relies on robust local polynomial method as an advanced technique for non-parametric measurement of the room impulse responses. In this way, it is possible to quantify various sources of uncertainties such as measurement noise, leakage, and nonlinear distortions by deeper analysis of the results. The information can be used to understand the situation of ANC system and improve the online the secondary path estimation, subsequently.

UR - https://www.daga2020.de/fileadmin/tagungen/2020.daga-tagung.de/Programm/DAGA_20_Programm_5.pdf

M3 - Conference paper

T2 - DAGA 2020

Y2 - 16 March 2020 through 19 March 2020

ER -

Research