Enhancement of time-domain acoustic imaging based on generalized cross-correlation and spatial weighting. (15th June 2016)

• Record Type: Journal Article
• Authors: Quaegebeur, Nicolas; Padois, Thomas; Gauthier, Philippe-Aubert; Masson, Patrice
• Is Part Of: Mechanical systems and signal processing. Volume 75(2016)
• Page Start: 515
• Page End: 524
• Publication Date: 2016-06-15
• Subjects: Acoustic imaging -- Beamforming -- Array processing -- Generalized cross-correlation; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2015.12.012
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: In this paper, an alternative formulation of the time-domain beamforming is proposed using the generalized cross-correlation of measured signals. This formulation uses spatial weighting functions adapted to microphone positions and imaging points. The proposed approach is demonstrated for acoustic source localization using a microphone array, both theoretically and experimentally. An increase in accuracy of acoustic imaging results is shown for both narrow and broadband sources, while a factor of reduction up to 20 in the computation time can be achieved, allowing real-time or volumetric source localization over very large grids. Abstract : Highlights: An alternative formulation of the time-domain beamforming is proposed. Generalized Cross-Correlation (GCC) is used instead of Cross-Correlation operator. A spatial weighting function is introduced to sharpen the imaging result. Numerical and experimental validation is proposed for multiple sources localization.