Improving Performance of Hybrid Active Noise Control Systems for Uncorrelated Narrowband Disturbances

Akhtar, Muhammad Tahir; Mitsuhashi, Wataru

doi:10.1109/tasl.2011.2112349

Cited by 51 publications

(27 citation statements)

References 16 publications

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“…However, the acquisition of the reference signal from the error microphone introduces a feedback loop, and it is suitable for canceling low-frequency noise only while retaining a stable feedback loop. Thus, for effective NR in headphone applications, a hybrid structure combining the feedforward and feedback configurations may be considered [3].…”

Section: Proposed Hybrid Structure For Anc With Wind Detectionmentioning

confidence: 99%

“…On the other hand, feedback ANC introduces a feedback loop, and therefore, low-frequency noise can only be successfully canceled by retaining the stability of the loop, which may result in relatively less NR performance [2]. Therefore, a hybrid structure combining feedforward and feedback systems [3] is considered, and a method to switch their contributions according to correlation-based wind detection is presented to achieve improved NR performance by combining the advantages of both methods.…”

Section: Introductionmentioning

confidence: 99%

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Active Noise Canceling for Headphones Using a Hybrid Structure with Wind Detection and Flexible Independent Component Analysis

Lim

Kim

Park

2015

IEICE Trans. Inf. & Syst.

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SUMMARYThis letter presents a method for active noise cancelation (ANC) for headphone application. The method improves the performance of ANC by deriving a flexible independent component analysis (ICA) algorithm in a hybrid structure combining feedforward and feedback configurations with correlation-based wind detection. The effectiveness of the method is demonstrated through simulation. key words: active noise cancelation, headphone, independent component analysis, flexible score function

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Section: Proposed Hybrid Structure For Anc With Wind Detectionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Active Noise Canceling for Headphones Using a Hybrid Structure with Wind Detection and Flexible Independent Component Analysis

Lim

Kim

Park

2015

IEICE Trans. Inf. & Syst.

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“…However, since these techniques use the same error signal to update all adaptive filters, the performance of the NANC degrades when an error signal approaches zero in some but not all components. In [8], Akhtar and Mitsuhashi presented a hybrid NANC system using direct from structure. The system complexity is high when the number of undesired harmonics increases.…”

Section: Introductionmentioning

confidence: 99%

Splitting frequency components of error signal in narrowband active noise control system design

Kuo

Chang

2013

2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference

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A narrowband active noise control (NANC) structure is often applied to reduce undesired noise when multiple tones have close frequencies. A parallel ANC structure is proposed for separating undesired harmonics into a series of adaptive filters. Since the input signal of each adaptive filter has only one harmonic component, a second-order finite impulse response (FIR) filter is sufficient for processing the undesired noise. Therefore, the presented parallel structure for NANC system is greatly simplified. Based on the input signal frequency, a bank of bandpass filters splits the frequency components of the error signal to update the corresponding adaptive filters in the parallel NANC structure, each of which is computationally very simple and unaffected by time delay. A new performance index for a parallel NANC is also proposed. The increased convergence speed obtained by the proposed method is first confirmed by theoretical analysis. Computer simulations are then performed to confirm the enhancement.

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“…The idea of a hybrid approach can be traced back to the papers of Swanson [7] and Zangi [8] (see also [2] and [9]). Some more recent studies that consider hybrid control for acoustic noise cancelation include [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Hybrid SONIC: joint feedforward–feedback narrowband interference canceler

Niedźwiecki

Meller

2013

Adaptive Control & Signal

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SONIC (self-optimizing narrowband interference canceler) is an acronym of a recently proposed active noise control algorithm with interesting adaptivity and robustness properties. SONIC is a purely feedback controller, capable of rejecting nonstationary sinusoidal disturbances (with time-varying amplitude and/or frequency) in the presence of plant (secondary path) uncertainty. We show that although SONIC can work reliably without access to a reference signal, even when the frequency of the disturbance is unknown and possibly time varying, the algorithm can take advantage of such additional source information. Unlike classical hybrid solutions, the reference signal is used only to extract information about the instantaneous frequency of the disturbance. The advance-time advantage, available because the acoustic delay in the system is larger than the electrical delay, allows one to incorporate in the control loop a smoothed, and hence more accurate, frequency estimate. This increases the attenuation efficiency of SONIC and widens its operating range-the modified algorithm can be safely used in the presence of rapid frequency changes. Copyright HYBRID SONIC: FEEDFORWARD-FEEDBACK INTERFERENCE CANCELER 1051 SONIC [5,6] can be summarized as follows:and c > 0 denotes a small constant. The multifrequency version of SONIC was presented in [14]. RemarkFrequency update recursion (6) differs from that proposed in [6]:7) ‡ Note that the signal d 0 .t/ has time-varying amplitude even though the amplitude of s.t/ is constant. This is a typical effect observed when the filtered narrowband signal is nonstationary.

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Improving Performance of Hybrid Active Noise Control Systems for Uncorrelated Narrowband Disturbances

Cited by 51 publications

References 16 publications

Active Noise Canceling for Headphones Using a Hybrid Structure with Wind Detection and Flexible Independent Component Analysis

Active Noise Canceling for Headphones Using a Hybrid Structure with Wind Detection and Flexible Independent Component Analysis

Splitting frequency components of error signal in narrowband active noise control system design

Hybrid SONIC: joint feedforward–feedback narrowband interference canceler

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