A computationally efficient frequency-domain filtered-X LMS algorithm for virtual microphone

Das, Debi Prasad; Moreau, Danielle; Cazzolato, B.

doi:10.1016/j.ymssp.2012.12.005

Cited by 29 publications

(17 citation statements)

References 17 publications

(26 reference statements)

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“…Considering Lth and N th sample period is much higher than their time domain counterpart. However, various techniques have been proposed in [5] to overcome the computational complexity but most of them are based on block processing which inherent some processing lags.…”

Section: B Frequency Domain Virtual Fxlmsmentioning

confidence: 99%

“…However, in some applications it is unrealistic and ineffective to achieve the noise attenuation at the error microphone location. Therefore, to introduce a more flexible positioning of the "zone of quiet", several time domain [1]- [2] [3] [4], frequency domain [5], [6], and wave domain [7], [8] virtual sensing methods have been suggested in the literature.…”

Section: Introductionmentioning

confidence: 99%

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On FxLMS Scheme for Active Noise Control at Remote Location

Munir

Abdulla

2020

IEEE Access

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The conventional adaptive noise control algorithms create a zone of quiet at the location of an error microphone. Several virtual active noise control (ANC) algorithms have been suggested in the literature to introduce a more flexible positioning of the zone of quiet. The main objective of the proposed ANC system in our research is to minimize the noise disturbance on human hearing by considering the auditory system characteristics. We have introduced the human perception of acoustic disturbances in our ANC modeling. This paper presents a novel approach based on a psychoacoustically enabled remote ANC algorithm to minimize the acoustic noise at a zone away from the error microphone location. This approach depends on modeling the transfer function between the error microphone and the remote zone of quiet. The developed model has been implemented using an FPGA real-time module, and the performance is validated at four different remote locations. Noise-weighting filters are incorporated to observe the psychoacoustic characteristics of the proposed model. In the experimental setup, the acoustic noise at the physical and remote locations are monitored to quantify the noise reduction characteristics of the proposed algorithm. The simulation and experimental results show a noise reduction of 15-18 dBs has been achieved, which is an average improvement of 5-8 dBs over the standard ANC model.

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Section: B Frequency Domain Virtual Fxlmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On FxLMS Scheme for Active Noise Control at Remote Location

Munir

Abdulla

2020

IEEE Access

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“…Carra et al [11], Ma et al [12], Carnahan et al [13], Zhu et al [14], and Li et al [15] have researched various Fxlms algorithms with applications to rectangular aluminum structures, piezoelectric cantilever structures, and gear transmission systems and analyzed the relationship between the convergence of Fxlms and Fulms algorithms and control path. Das et al [16] proposed a frequency domain Fxlms algorithm with high efficiency. Huang et al [17], Kim et al [18], Ning et al [19], and Zhang et al [20] got single-related improved Fxlms and Fulms algorithms to compare the calculation efficiency and control effect with traditional ones.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Filtered-x Adaptive Vibration Control with Internal Feedback and Online Identification

Yang¹,

Liu

Zhang³

et al. 2018

Shock and Vibration

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Active control is an effective way to suppress low-frequency mechanical vibration. However, with applications to submarine equipment, there are still some shortcomings due to vibration coupling and multifrequency complex excitation. In this paper, a novel hybrid improved adaptive control strategy, feedback and online identification filtered-x LMS, namely, FOFxlms, is proposed, which introduces the residual errors to correct variable step-size, uses the estimated primary path to improve online identification, and applies internal feedback to compensate for the feedforward control. Then the FOFxlms algorithm is applied to a double-layer vibration isolation system of submarine rotating equipment, and the simulation results show that the normalized variable step-size with residual error can effectively improve convergence speed, the internal feedback can efficaciously compensate for steady-state control accuracy, and the online identification can dynamically identify the time-varying characteristics of the secondary path. The vibration reduction efficiency of Fxlms, FFxlms, and FOFxlms increases for the fundamental frequency vibration; the control effect and convergence speed are also enhanced in turn.

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“…However, this might not always be a feasible solution. To enable a microphone as an error sensor to be located away from the target position, several virtual sensing algorithms for ANC have been researched [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. The adaptive LMS virtual sensing algorithm estimates the error signal by placing a number of physical microphones in space and another physical microphone at the desired location temporarily.…”

Section: Introductionmentioning

confidence: 99%

Quiet Zone Enhancement for a Target Location Using an Improved Virtual Sensing Algorithm

Rheem

2017

Electronics

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Generating a quiet zone at a target location is the ultimate goal of active noise control (ANC). Generally, the best noise cancellation is achieved at the locations of error sensors. However, the distribution of physical error sensors at a given location is not always convenient or feasible. To overcome this challenge, a number of virtual sensing algorithms for ANC have been researched. Using the physical error signals and knowledge of the system, the adaptive least mean square (LMS) virtual sensing algorithm estimates the error signal at a location that is remote from the physical error sensor, referred to as the virtual location. It achieves excellent performance under the assumption that the unknown primary path is fixed, but its performance decreases significantly if the path is constantly changing. This paper presents a real-time ANC system with an improved virtual sensing algorithm to solve this problem. The proposed system was tested to enhance the quiet zone in a constantly changing environment; an enhanced quiet zone was created, and the noise cancellation, especially at the target location, obviously improved.Electronics 2017, 6, 76 2 of 13 sensing algorithm cannot maintain excellent performance. This paper presents a modified adaptive LMS algorithm to solve this problem. The proposed algorithm achieves the microphone weights on the basis of the secondary paths, the secondary paths are fixed during the system operation. Thus, the proposed algorithm effectively eliminates the influence of a constantly changing primary path. A multichannel ANC with an improved virtual sensing algorithm was then designed to enhance the noise cancellation at the target location.The organization of this paper is as follows: Section 2 presents the design of real-time multichannel ANC system. In Section 3, the adaptive LMS virtual sensing algorithm is introduced and the improved adaptive LMS virtual sensing algorithm is proposed. Experimental results are presented in Section 4, and the conclusions are summarized in Section 5. Multichannel Real-Time ANC SystemThe filtered-x least mean square (FXLMS) algorithm has been widely used in practical ANC due to its robustness and simplicity. In our proposed system, the multichannel delay-compensated FXLMS algorithm is applied [22], it achieves a faster convergence rate and better performance with only double computation load, and this guarantees the possibility of real-time implementation. The multichannel delay-compensated FXLMS is illustrated in Figure 1. It employs I reference sensors to form the reference signal vector, generates J canceling signals to drive the corresponding secondary sources, and distributes K error sensors over desired locations to measure the residual noise components.Electronics 2017, 6, 76 2 of 12 achieves the microphone weights on the basis of the secondary paths, the secondary paths are fixed during the system operation. Thus, the proposed algorithm effectively eliminates the influence of a constantly changing primary path. A multichannel ANC with an improv...

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A computationally efficient frequency-domain filtered-X LMS algorithm for virtual microphone

Cited by 29 publications

References 17 publications

On FxLMS Scheme for Active Noise Control at Remote Location

On FxLMS Scheme for Active Noise Control at Remote Location

Hybrid Filtered-x Adaptive Vibration Control with Internal Feedback and Online Identification

Quiet Zone Enhancement for a Target Location Using an Improved Virtual Sensing Algorithm

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