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Cross-spectrum generalized inverse beam forming method based on cross spectrum optimization

An inverse beam, generalized technology, applied in the field of sound source identification algorithm, can solve the problem of low spatial resolution of sound source identification

Active Publication Date: 2017-09-12
CHONGQING UNIV
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Problems solved by technology

However, the algorithm is reconstructed based on the traditional equivalent source algorithm, which has higher spatial resolution in low- and medium-frequency sound sources and short measurement distances, but for high-frequency sound sources or long-distance measurement, the spatial resolution of sound source identification is limited. the resolution will be lower

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  • Cross-spectrum generalized inverse beam forming method based on cross spectrum optimization

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[0057] The present invention will be further described below in conjunction with the examples, but it should not be understood that the scope of the subject of the present invention is limited to the following examples. Without departing from the above-mentioned technical ideas of the present invention, various replacements and changes made according to common technical knowledge and conventional means in this field shall be included in the protection scope of the present invention.

[0058] Since this embodiment involves a beamforming algorithm based on sound source identification, which is based on the sound source identification system, the sound source identification system will be briefly introduced first. in figure 1 A schematic diagram of a sound source reconstruction system is described, which includes a camera located near the sound source, a microphone array, a multi-channel signal collector, and a post-processing computer.

[0059] The camera is used to collect the...

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Abstract

The invention discloses a cross-spectrum generalized inverse beam forming method based on cross-spectrum optimization. Firstly, a steering matrix is constructed based on the traditional generalized inverse beam formation. Secondly, an acoustic pressure cross-spectrum matrix is optimized through a linear optimization method. Finally, through the obtained steering matrix and the optimized acoustic pressure cross-spectrum matrix and according to the traditional idea of cross-spectrum matrix beam formation, a novel cross-spectrum generalized inverse beam forming algorithm based on an optimized cross-spectrum matrix is constructed. The algorithm can make full use of the anti-noise performance of cross-spectrum beam formation based on cross-spectrum optimization while taking advantage of high resolution of generalized inverse beam formation.

Description

technical field [0001] The invention relates to a sound source identification algorithm, mainly involving the use of a microphone array-based cross-spectrum optimization generalized inverse beamforming algorithm to accurately identify and locate sound sources on the basis of eliminating background noise. Background technique [0002] At present, there are mainly two sound source identification methods based on microphone arrays, beamforming and acoustic holography. Both have their own advantages and disadvantages. Among them, the medium and long-distance sound source identification performance of beamforming is better than that of acoustic holography, while the performance of low frequency is worse than that of acoustic holography. [0003] Beamforming is a sound source identification method that has developed rapidly in recent years. It is based on regular or irregular microphone arrays (such as cross-shaft and wheel arrays) for signal acquisition, and then uses a simple de...

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Application Information

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IPC IPC(8): G01S5/20
CPCG01S5/20
Inventor 徐中明黎术贺岩松张志飞王庆华宋绍禹刘冲
Owner CHONGQING UNIV
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