Broadband nearfield beamforming using a radial beampattern transformation

Kennedy, Rodney A.; Abhayapala, Thushara D.; Ward, D.B.

doi:10.1109/78.705426

Cited by 99 publications

(42 citation statements)

References 9 publications

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“…However, in the recent literature several techniques that use distributed microphone arrays have appeared [3,4,5,6,7,8,9]. When multiple microphone arrays are present, the planar waveforms assumption fails, hence suitable signal models for the near-field case have to be adopted [10,11,12]. In this paper we propose a filter design technique for this scenario.…”

Section: Introductionmentioning

confidence: 99%

Extraction of acoustic sources for multiple arrays based on the ray space transform

Borra

Antonacci

Sarti

et al. 2017

2017 Hands-Free Speech Communications and Microphone Arrays (HSCMA)

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In this paper we present a source extraction technique for multiple uniform linear arrays distributed in space. The technique adopts the Ray Space Transform representation of the sound field, which is inherently based on the Plane Wave Decomposition. The Ray Space Transform gives us an intuitive representation of the acoustic field, thus enabling the adoption of geometrically-motivated constraints in the spatial filter design. The proposed approach is semi-blind since it needs as input an estimate of the source positions. We prove the effectiveness of the proposed solution through simulations using both white noise and speech signals.

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Section: Introductionmentioning

confidence: 99%

Extraction of acoustic sources for multiple arrays based on the ray space transform

Borra

Antonacci

Sarti

et al. 2017

2017 Hands-Free Speech Communications and Microphone Arrays (HSCMA)

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show abstract

“…is satisfied, sounds propagate as a spherical wave; otherwise, sounds propagate as a plane wave [8]. Here, ρ is the distance from the center of the microphone array to the source, D is the maximum width of the microphone array and λ is the wavelength.…”

Section: Spherical Wave Assumptionmentioning

confidence: 99%

Template-Based Method for Compensation of Time Difference of Arrival in Passive Sound Source Localization under Reverberant and Noisy Environments

Tachioka

Narita

2017

Journal of Signal Processing

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Source localization techniques are important and effective for various applications. Without reverberation and noise, some conventional source localization techniques have achieved high accuracies. However, reverberation degrades their performance due to reflected sounds because they compare observed time differences of arrival (TDOAs) with theoretical TDOAs, which are derived from anechoic conditions and do not agree with actual ones under reverberant conditions. We propose a template-based method that compensates the discrepancy between theoretical TDOAs and actual TDOAs in order to reduce the influence of reflections. In this study, two types of experiments are performed to validate the effectiveness of the proposed method. The first one is a simple case that investigates the estimation accuracy in detail and the second one investigates a more practical case in a more complicated situation. For both cases, our proposed method can calibrate these errors effectively without increasing the computational time and improve the performance of conventional methods.

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“…For this reason, nearfield beamforming based on microphone array has attracted a growing number of researches. So far, many nearfield beamforming approaches have been proposed [5]; however, most of them only consider the ideal microphone array characteristics without errors. Actually, the beamformers are highly sensitive to the errors in microphone array characteristics, that is, microphone gain, phase, and position errors.…”

Section: Introductionmentioning

confidence: 99%

Robust Nearfield Wideband Beamforming Design Based on Adaptive‐Weighted Convex Optimization

Guo

Wang

Zhang³

2017

Mathematical Problems in Engineering

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Nearfield wideband beamformers for microphone arrays have wide applications in multichannel speech enhancement. The nearfield wideband beamformer design based on convex optimization is one of the typical representatives of robust approaches. However, in this approach, the coefficient of convex optimization is a constant, which has not used all the freedom provided by the weighting coefficient efficiently. Therefore, it is still necessary to further improve the performance. To solve this problem, we developed a robust nearfield wideband beamformer design approach based on adaptive-weighted convex optimization. The proposed approach defines an adaptive-weighted function by the adaptive array signal processing theory and adjusts its value flexibly, which has improved the beamforming performance. During each process of the adaptive updating of the weighting function, the convex optimization problem can be formulated as a SOCP (Second-Order Cone Program) problem, which could be solved efficiently using the wellestablished interior-point methods. This method is suitable for the case where the sound source is in the nearfield range, can work well in the presence of microphone mismatches, and is applicable to arbitrary array geometries. Several design examples are presented to verify the effectiveness of the proposed approach and the correctness of the theoretical analysis.

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Broadband nearfield beamforming using a radial beampattern transformation

Cited by 99 publications

References 9 publications

Extraction of acoustic sources for multiple arrays based on the ray space transform

Extraction of acoustic sources for multiple arrays based on the ray space transform

Template-Based Method for Compensation of Time Difference of Arrival in Passive Sound Source Localization under Reverberant and Noisy Environments

Robust Nearfield Wideband Beamforming Design Based on Adaptive‐Weighted Convex Optimization

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