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Research on Sound Source Imaging by Near-field Beamforming

Qingju Ning

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Abstract

The conventional beamforming can only imaging sound source in far-field environment. In this paper,two different vector weightings are introduced to improve the effect of imaging based on near-field beamforming model. Inversely proportional weights beamforming and minimum variance distortion-less response beamforming are described. Two methods are simulated and their results show effectiveness.

About this research paper

What this paper is about

The conventional beamforming can only imaging sound source in far-field environment. In this paper,two different vector weightings are introduced to improve the effect of imaging based on near-field beamforming model. Inversely proportional weights beamforming and minimum variance distortion-less response beamforming are described. Two methods are simulated and their results show effectiveness.

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Available abstract

The conventional beamforming can only imaging sound source in far-field environment. In this paper,two different vector weightings are introduced to improve the effect of imaging based on near-field beamforming model. Inversely proportional weights beamforming and minimum variance distortion-less response beamforming are described. Two methods are simulated and their results show effectiveness.

Key concepts: Beamforming, Distortion (music), Field (mathematics), Computer science, Acoustics, WSDMA, Minimum-variance unbiased estimator, Telecommunications

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