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Wireless-sonic-transducer-network-based multi-node inflation fusion sound source positioning method

A technology for sound sensor and sound source localization, which can be used in services based on location information, wireless communication, positioning, etc., and can solve problems such as low accuracy

Active Publication Date: 2016-12-14
NORTHWESTERN POLYTECHNICAL UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiency of low accuracy of existing sound source localization methods, the present invention provides a multi-node information fusion sound source localization method based on wireless acoustic sensor network

Method used

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  • Wireless-sonic-transducer-network-based multi-node inflation fusion sound source positioning method

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Embodiment Construction

[0051] refer to Figure 1-4 . The specific steps of the multi-node information fusion sound source localization method based on the wireless acoustic sensor network of the present invention are as follows:

[0052] The triangle represents the real position of the target sound source S=(x, y), which is set as S=(2.6, 3.0) in this embodiment. The black dots represent each microphone array node, and the corresponding number is m k (k=1,2,...9) and form the observation node set M={m k} (k=1,2...9). The observation area of ​​the sound source is composed of four small square areas with side length V=4. node m k The position coordinates of P k =(x k ,y k ) corresponds to the coordinates of each vertex of the square, such as node m 1 and m 5 The position coordinates of P 1 =(x 1 ,y 1 )=(0,0), P 5 =(x 5 ,y 5 )=(4,4). In this embodiment, the central position of the observation area m 5 The signal-to-noise ratio at the node is used as the reference signal-to-noise ratio...

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Abstract

The invention discloses a wireless-sonic-transducer-network-based multi-node inflation fusion sound source positioning method. With the method, a technical problem of low precision of the existing sound source positioning method can be solved. According to the technical scheme, a kalman filter is used for carrying out fusion on a near-field positioning result and a far-field DOA estimation value of a sound source. During an iteration process, a prediction result is corrected continuously according to an error covariance matrix until a final sound source positioning result is obtained; and the positioning precision can be improved by the iteration optimization process. When iteration fusion of a far-field node DOA estimation value is carried out each time, a positioning node is elected dynamically from a node set, so that the influence on positioning by a single node estimation error can be reduced and the noise immunity is improved. Because of the kalman filter method, the near-field positioning result of the sound source is added and is fused with the far-field node DOA estimation value of the sound source; and the sound source positioning precision is improved based on the iteration optimization process, wherein the positioning precision is improved by 1% to 3%.

Description

technical field [0001] The invention relates to a sound source localization method, in particular to a multi-node information fusion sound source localization method based on a wireless acoustic sensor network. Background technique [0002] The sound source localization method based on the Wireless Acoustic Sensor Network (WASN) has significant advantages such as less resource occupation and easy implementation under the conditions of limited resources such as communication bandwidth and energy. [0003] The document "Localizing multiple audio sources in a wireless acoustic sensornetwork [J]. Signal Processing, 2015, 107:54-67" discloses an iterative lattice based on fusion of Direction-of-Arrival (DOA) estimated values Network sound source localization method. This method divides the network coverage area into a square area with the microphone array node as the vertex, iteratively divides the grid for the area where the sound source is located, and searches within the grid...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W64/00G01S5/20H04L29/08
CPCG01S5/20H04L67/12H04W4/023H04W64/00
Inventor 宁方立赵满韦娟王文静牛俊儒
Owner NORTHWESTERN POLYTECHNICAL UNIV
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