A method and apparatus for rapid beamforming localization of a cyclic, stable sound source
By selecting multiple reference microphones in the microphone array, calculating the intercyclic spectrum correlation matrix, and generating an acoustic image, the problem of the inability to effectively identify multiple incoherent sound sources in the existing technology is solved, and more efficient sound source localization is achieved.
CN117554892BActive Publication Date: 2026-06-30HARBIN ENG UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN ENG UNIV
- Filing Date
- 2023-11-06
- Publication Date
- 2026-06-30
AI Technical Summary
Technical Problem
Existing technologies are not effective in identifying multiple incoherent sound sources and cannot effectively locate sound sources with different cyclic frequencies in rotating machinery.
Method used
A multi-channel microphone array is used, multiple reference microphones are selected, and the intercyclic spectrum correlation matrix between the microphone array and the reference microphones is calculated to generate an acoustic image to identify multiple incoherent sound sources.
Benefits of technology
It enables the effective identification and localization of multiple incoherent sound sources, improving the accuracy and efficiency of sound source localization.
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Smart Images
Figure CN117554892B_ABST
Abstract
This invention provides a fast beamforming localization method and apparatus for cyclic stationary sound sources. The method includes the following steps: measuring the acoustic signal of the sound source under test using a microphone array with multiple channels; selecting a cyclic frequency and a spectral frequency; selecting ρ reference microphones; calculating the cross-cyclic spectral correlation matrix between the acoustic signal measured by each channel of the microphone array and the acoustic signal measured by the reference microphones; calculating the cross-cyclic spectral correlation matrix between the acoustic signal measured by the reference microphones and the acoustic signal measured by each channel of the microphone array; calculating the cross-cyclic spectral correlation matrix between the acoustic signals measured by the reference microphones; obtaining the cross-cyclic spectral correlation matrix between the acoustic signals measured by each channel of the microphone array; and generating a sound image. The technical solution of this invention can effectively identify multiple incoherent sound sources. The technical solution of this invention can be widely applied in the field of noise identification technology.
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