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Near-field linear constrained minimum variance adaptive weighted-frequency-invariant beam forming method

An adaptive weighting and adaptive beam technology, which is applied in the direction of eliminating unnecessary wave systems, direction finders using ultrasonic/sonic waves/infrasonic waves, etc., can solve problems such as broadband frequency invariance

Active Publication Date: 2016-01-06
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a near-field linear constraint minimum variance adaptive weighted frequency-invariant beamforming method to effectively solve the problem of wideband frequency invariance of microphone array near-field spherical wave beamforming. Beamforming method of array structure

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  • Near-field linear constrained minimum variance adaptive weighted-frequency-invariant beam forming method

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[0048] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0049] The present invention's near-field linear constrained minimum variance adaptive weighted frequency invariant beamforming method is as follows: figure 1 As shown, the received signal x(k) of the microphone array is processed by a broadband adaptive beamformer to obtain its output signal: y(k)=w H x(k); wherein, H represents the conjugate transpose, w=[w 11 ,L,w M1 ,L,w 1L ,L,w ML ] T is the weight vector of the microphone array response, w ML Represent the weight coefficient of the Mth microphone channel L; x(k)=[x 11 (k),L,x M1 (k),L,x 1L (k),L,x ML (k)] T , x ML (k) represents the received signal of the Mth microphone channel L; z -1 Indicates one unit of delay; T indicates transposition; k indicates time series.

[0050] The distance from the midpoint of the near field is r, and the frequency is f n The array response functio...

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Abstract

The invention discloses a near-field linear constrained minimum variance adaptive weighted-frequency-invariant beam forming method. The method is based on linear constrained minimum variance. A balance matrix of an array spatial response bias function is defined based on the spatial response bias function, and the matrix is introduced into a near-field linear constrained minimum variance beam forming method to obtain the near-field linear constrained minimum variance weighted-frequency-invariant beam forming method. Then, the weighting coefficient in the near-field linear constrained minimum variance weighted-frequency-invariant beam forming method is defined as a function of the field spot distance and the signal frequency, and the function is dynamic and is updated adaptively. The method of the invention is widely applied to multi-channel speech enhancement, man-machine voice interaction systems, hearing aids, vehicular hands-free voice communication, remote video conferencing systems, robot hearing, and other fields.

Description

technical field [0001] The invention relates to a near-field linear constraint minimum variance self-adaptive weighted frequency-invariant beamforming method, which belongs to the technical field of microphone array beamforming. Background technique [0002] Microphone array beamforming technology originates from the idea of ​​array antenna beamforming. In order to improve the output performance of the array, many classical beamforming methods have been proposed. [0003] The traditional linear constrained minimum variance beamforming method is to make the main lobe of the array antenna pattern point to the direction of the desired signal, and make its null point to the direction of the interference signal, so as to improve the strength of the desired signal output by the array and reduce the strength of the interference signal , thereby improving the output performance of the array. However, this method is mainly used to design the weight vector of the narrowband antenna ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/86
CPCG01S3/86
Inventor 郭业才陈小燕顾亚健禹胜林
Owner NANJING UNIV OF INFORMATION SCI & TECH
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