Target signal frequency automatic optimization method for assisting direction-of-arrival positioning
A technology of direction positioning and target signal, applied in the field of sound source positioning, can solve the problems of missing signal components, contiguous phenomenon, increase positioning time, etc., and achieve the effect of high calculation efficiency and high accuracy
Active Publication Date: 2022-04-29
杭州兆华电子股份有限公司
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However, there are two disadvantages in this method. One is that the frequency of the target sound source is unknown, and the frequency range can only be continuously changed by enumeration. Using the cloud image to focus greatly increases the positioning time and is inefficient.
The second is that the target sound source may be a mixture of multiple frequency signals. Using a bandpass filter cannot accurately cover the signal frequency band. When the bandwidth is small, the signal components may be missed, making the cloud image not obvious; when the bandwidth is large, it may include other The frequency component of the noise causes the contiguous phenomenon between the points of the cloud image
It can be seen that there is currently no way to quickly and accurately determine the position of the real sound source
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[0043] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0044] In the following introduction, the terms "first" and "second" are only used for the purpose of description, and should not be understood as indicating or implying relative importance. The following introduction provides multiple embodiments of the present application, and different embodiments can be replaced or combined and combined, so the present application can also be considered to include all possible combinations of the same and / or different embodiments described. Thus, if one embodiment contains features A, B, C, and another embodiment contains features B, D, then the application should also be considered to include all other possible combinations containing one or more of A, B, C, D Although this embodiment may not be clearly written in the following content....
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The invention discloses a target signal frequency automatic optimization method for assisting direction-of-arrival positioning, and the method comprises the steps: obtaining a sound source signal collected by an array, and constructing a target function based on the sound source signal and a conversion matrix; constructing a first target matrix based on the first position matrix; randomly orthogonalizing the first target positions to obtain direction vectors, and optimizing the corresponding first target positions based on the direction vectors to obtain a second target matrix; generating a second position matrix based on the first target matrix and the second target matrix; calculating a step parameter corresponding to the second position matrix, generating a third position matrix based on the step parameter, and locally replacing the second position matrix based on the third position matrix; and determining an optimal conversion matrix corresponding to the second position matrix, separating the sound source signals based on the optimal conversion matrix to obtain each independent sound source signal, and determining the independent sound source signal with the highest spectrum peak value as a target sound source signal. According to the invention, the real sound source position can be rapidly and accurately determined.
Description
technical field [0001] The present application relates to the technical field of sound source localization, and in particular, relates to an automatic optimization method of a target signal frequency for assisting direction-of-arrival localization. Background technique [0002] As a passive sound source localization method, beamforming is susceptible to noise interference from other frequencies, resulting in multiple points on the cloud image, making it impossible to judge the real sound source position. Therefore, the frequency is generally narrowed down selectively through band-pass filtering. To help filter out noise interference. However, there are two disadvantages in this method. One is that the frequency of the target sound source is unknown, and the frequency range can only be continuously changed by enumeration to use the cloud image to focus, which greatly increases the positioning time and is inefficient. The second is that the target sound source may be a mixtur...
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CPCG01S5/18Y02D30/70
Inventor 曹祖杨杜子哲闫昱甫张鑫方吉黄铖栋李佳罗
Owner 杭州兆华电子股份有限公司