False sound source elimination method based on TDOA multi-sound-source positioning

Abstract

The invention discloses a false sound source elimination method based on TDOA multi-sound-source positioning. The method comprises the following steps: setting a first group of array microphones, a second group of array microphones and a reference microphone, and obtaining a first real sound source time difference matrix and a second real sound source time difference matrix, constructing a first possible time difference matrix, calculating through a Chan method to obtain a second possible time difference matrix, comparing the second possible time difference matrix with the second real time difference matrix to eliminate a false sound source to obtain a real sound source, and calculating by using data of all microphones corresponding to the real sound source to obtain the position of the real sound source. According to the invention, the calibration microphone is arranged, so that the sound source positioning precision is improved, and the positioning error is reduced.

Description

technical field [0001] The invention relates to the technical field of sound source localization, in particular to a false sound source elimination method based on TDOA multi-sound source localization. Background technique [0002] In recent decades, sound source localization has been a research hotspot and has attracted the attention of many scholars. Sound source localization is widely used in noise source identification, target sound source tracking, teleconferencing systems, intelligent robots and many other fields. Sound source localization generally uses a microphone array to estimate the location of the sound source. Sound source localization methods can be classified into the following three categories: beamforming, acoustic holography methods, and parameter measurements. Both the traditional beamforming method and the acoustic holography method identify the sound source on the reconstructed two-dimensional sound field plane. In order to obtain the precise three-di...

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Problems solved by technology

[0003] At present, both the Fang method and the Chan method are widely used in sound source localization calculations. Among them, the Chan method is a non-recursive hyperbolic equation system solution method with an analytical expression solution. When the measurement error obeys the ideal Gaussian distribution, the Chan method positioning accuracy Higher, less calculation, and the accuracy of the algorithm can be improved by increasing the number of base stations or microphones, but for multi-sound source recognition, since the Chan method cannot directly determine which sound source the sound signal comes from, the calculation will generate a large number of false points Sound source

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