Broadband DOA estimation method based on time-varying mixed signal blind separation

Abstract

The invention discloses a broadband DOA estimation method based on time-varying mixed signal blind separation. The method comprises the following steps: acquiring multi-sound-source reverberation dataof an acoustic camera system; forming a deep blind beam forming algorithm through a GPR-UKF-NMFD blind separation algorithm, a variational Bayesian blind separation algorithm, a time-varying online blind separation algorithm, a GCC-PHAT algorithm and an MVDR beam forming algorithm; performing time-varying blind source separation, reverberation removal and DOA estimation on multi-sound-source reverberation data through a depth blind beam forming algorithm. Based on the GPR-UKF-NMFD blind separation method, the variational Bayesian blind separation method, the time-varying online blind separation method, the DOA estimation method of GCC-PHAT and the MVDR beam forming method, the invention provides the depth blind beam forming algorithm of an acoustic camera system suitable for DOA estimation of multiple sound sources, and the algorithm is transplanted into the acoustic camera system. Time-varying blind separation, positioning and de-reverberation of multiple actually-measured sound sources are realized through a semi-physical simulation experiment.

Description

technical field [0001] The present invention relates to the technical field of signal blind separation processing, and in particular to a wideband DOA estimation method based on blind separation of time-varying mixed signals. Background technique [0002] Acoustic cameras are widely used in the field of visualizing sound fields and identifying noise sources. It is an imaging device used to locate and characterize sound sources. The device is composed of several microphone sensors and an optical camera. Different array shapes are produced by different placement of the microphone sensors. The optical camera is used to capture the actual sound source environment scene, while the microphone array is used to receive the incident Sound source. Since sound travels through different media at known speeds, each microphone in the array perceives each sound source in the "observation" area at a different time and with a different sound intensity. One of the key technologies of the de...

AI Technical Summary

Problems solved by technology

[0004] However, there are still some problems that need to be solved urgently if the wideband multi-source DOA estimation is to be applied to the acoustic camera system

For example, in a noisy and reverberant environment, the localization and reverberation of multiple sound sources when the hybrid system is a time-varying system is not involved; the online broadband multi-source DOA estimation suitable for applications with high real-time requirements is not studied

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