Blockwise Frequency Domain Active Noise Controller Over Distributed Networks

Antoñanzas, Christian; Ferrer, Miguel; Diego, María de; González, Alberto

doi:10.3390/app6050124

Cited by 10 publications

(8 citation statements)

References 23 publications

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“…Note that, as expected, the same relation is maintained as the number of nodes increases. Following an example under the same configuration as described in [41], note that the clipping and rescaling l-DMEFxLMS algorithms would need a transfer rate of 16.1 and 24.2 megabytes per second (MBps), respectively, on an incremental four-node WASN. However, the 1r rescaling l-DMEFxLMS algorithm would need a transfer rate of at least 8.1 MBps.…”

Section: Computational Complexity and Communication Requirementsmentioning

confidence: 99%

Control Effort Strategies for Acoustically Coupled Distributed Acoustic Nodes

Antoñanzas

Ferrer

Diego

et al. 2017

Wireless Communications and Mobile Computing

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This paper considers the effect of effort constraints on the behavior of an active noise control (ANC) system over a distributed network composed of acoustic nodes. A distributed implementation can be desirable in order to provide more flexible, versatile, and scalable ANC systems. In this regard, the distributed version of the multiple error filtered-x least mean square (DMEFxLMS) algorithm that allows collaboration between nodes has shown excellent properties. However, practical constraints need to be considered since, in real scenarios, the acoustic nodes are equipped with power constrained actuators. If these constraints are not considered within the adaptive algorithm, the control signals may increase and saturate the hardware devices, causing system instability. To avoid this drawback, a control effort weighting can be considered in the cost function of the distributed algorithm at each node. Therefore, a control effort strategy over the output signals at each node is used to keep them under a given threshold and ensuring the distributed ANC system stability. Experimental results show that, assuming ideal network communications, the proposed distributed algorithm achieves the same performance as the leaky centralized ANC system. A performance evaluation of several versions of the leaky DMEFxLMS algorithm in realistic scenarios is also included.

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Section: Computational Complexity and Communication Requirementsmentioning

confidence: 99%

Control Effort Strategies for Acoustically Coupled Distributed Acoustic Nodes

Antoñanzas

Ferrer

Diego

et al. 2017

Wireless Communications and Mobile Computing

Self Cite

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“…Low-frequency noise, considered in the frequency range up to approximately 500 Hz, is most difficult to limit due to passive barriers' inefficiency at this frequency range (when the noise frequency decreases, the mass, dimensions and cost of passive elements generally increases in order to be effective [2]). As an alternative or complementing solution, active control methods can be employed [3][4][5][6]. They can be used, e.g., to reduce noise entering through open windows [7,8].…”

Section: Introductionmentioning

confidence: 99%

Active Structural Acoustic Control of an Active Casing Placed in a Corner

et al. 2019

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Electric appliances used in workplaces and everyday life often generate a low-frequency noise, which affects human body systems. Passive methods employed to reduce noise are not effective at low frequencies. The classical approach to active noise control practically involves the generation of local zones of quiet, whereas at other areas the noise is reinforced. Moreover, it usually requires a large number of secondary sound sources. Hence, an active casing approach has been developed. The active casing panels’ vibrations are controlled to reduce the device noise emission. Efficiency of this method has been previously confirmed by the authors and the results have been reported in multiple journal publications. However, in the previous research experiments, the active casing was placed at a distance from the enclosure walls. In this research, the active casing is located in a corner and such placement is intentionally used to facilitate the active control system’s operation. The noise reduction performance is investigated at multiple configurations, including a range of distances from the corner and different error microphone arrangements. The analysis of both primary and secondary paths is given. Advantages and drawbacks of different active casing configurations are presented and discussed.

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“…However, other type of acoustic networks have been proposed whose nodes are not only equipped with microphones, but that they can manage one or more loudspeakers or actuators as well. This new type of WASNs can perform all the tasks described above, but they can also carry out other applications related to sound field control, as active noise control (ANC) [9], [10] or personal sound zones [11], [12].…”

Section: Introductionmentioning

confidence: 99%