ArticleSensors (Basel, Switzerland)2019
Spherical Reverse Beamforming for Sound Source Localization Based on the Inverse Method.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Magnetoencephalography for epileptic focus localization based on Tucker decomposition with ripple window.CNS neuroscience & therapeutics · 2021Article
- An in-Process Inspection System to Detect Noise Originating from within the Interior Trim Panels of Car Doors.Sensors (Basel, Switzerland) · 2020Article
- Coherent Noise Suppression Using Adaptive Homomorphic Filtering for Wideband Electromagnetic Imaging System.Sensors (Basel, Switzerland) · 2019Article
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2 authors.
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Abstract
A spherical array is not limited to providing an acoustic map in all directions by the azimuth of the array. In this paper, spherical reverse beamforming for sound source localization based on spherical harmonic beamforming and the principle of sound field reconstruction is proposed in order to output a sharper scanning beam. It is assumed that there is an imaginary sound source at each scan point, and the acoustic map of a spherical array to the actual sound source is regarded as the combination of all of the imaginary sound sources. Sound source localization can be realized by calculating the contribution of each imaginary sound source to the sound field. Also in this work, the non-convex constrained optimization problem is established using
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