Improved sound source localization method based on progressive serial orthogonalization blind source separation algorithm, and implementation system for same

A blind source separation and sound source localization technology, which is applied in positioning, radio wave measurement system, voice analysis, etc., can solve the problem of not being able to identify multiple sound sources

Active Publication Date: 2018-01-30
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In order to overcome the deficiency that multiple sound sources cannot be identified in the existing sound source localization method, the present invention proposes an improved sound source localization method based on progressive serial orthogonalization blind source separation algorithm;

Method used

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  • Improved sound source localization method based on progressive serial orthogonalization blind source separation algorithm, and implementation system for same
  • Improved sound source localization method based on progressive serial orthogonalization blind source separation algorithm, and implementation system for same
  • Improved sound source localization method based on progressive serial orthogonalization blind source separation algorithm, and implementation system for same

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Effect test

Embodiment 1

[0102] An improved sound source localization method based on progressive serial orthogonalization blind source separation algorithm, such as figure 2 shown, including the following steps:

[0103](1) The sound signal is collected and stored through the microphone array; the microphone array is: select (0,0,0), (a,0,0), (0,a,0), (0, 0, a) Microphones are placed in four positions to obtain the microphone array, a is a fixed parameter, representing three coordinates (a, 0, 0), (0, a, 0), (0, 0, a) to The distance from the microphone at the origin (0,0,0) of the coordinate system. The sound signal collected by the microphone array is the mixed sound signal x(t), x(t)=[x 1 (t), x 2 (t), x 3 (t), x 4 (t)], x 1 (t), x 2 (t), x 3 (t), x 4 (t) are shown in formulas (IX), (X), (XI) and (XII) respectively:

[0104] x 1 (t)=a 11 the s 1 +a 12 the s 2 +a 13 the s 3 +a 14 the s 4 (Ⅸ)

[0105] x 2 (t)=a 21 the s 1 +a 22 the s 2 +a 23 the s 3 +a 24 the s 4 (X) ...

Embodiment 2

[0115] According to the improved sound source localization method based on the progressive serial orthogonalization blind source separation algorithm described in Embodiment 1, the difference is that the accurate time delay is obtained according to step (5), such as image 3 As shown, the solution to the sound source position includes the following steps:

[0116] A. Set to obtain 4 channels of sound signals through step (3), namely x 1 (t), x 2 (t), x 3 (t), x 4 (t), t is the serial number of sampling point in the digital signal, and length is N, carries out window filter processing with 4 road sound signals, eliminates noise;

[0117] B. Extract the envelope of the 4-way signal, only take the upper half of the envelope as the effective signal, and perform sampling at the frequency of Fs / n to obtain x′ 1 (t), x' 2 (t), x' 3 (t), x' 4 (t), Fs is the sampling frequency during blind source separation, and n is an integer greater than 1;

[0118] C, for x' 1 (t), x' 2 (...

Embodiment 3

[0134] According to the improved sound source localization method based on the progressive serial orthogonalization blind source separation algorithm described in embodiment 1, the difference is that in the step (4), if there are multiple sound sources, the TDOA algorithm is used to calculate Delay, to solve the sound source position, including the following steps:

[0135] a. Step (2) obtains the independent component that needs to be positioned as y i (t), i is an integer and 1≤i≤4, t is the serial number of the sampling point in the digital signal, and y i (t), x 1 (t), x 2 (t), x 3 (t), x 4 (t) The 5-way signals are processed by windowing and filtering, and then transformed into the frequency domain by Fourier transform to obtain the frequency domain signal Y i (k), X 1 (k), X 2 (k), X 3 (k), X 4 (k), k is the sequence number of the digital signal sampling point corresponding to t;

[0136] b. The independent component y i (t) As a reference signal, calculate Y ...

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Abstract

The invention relates to an improved sound source localization method based on a progressive serial orthogonalization blind source separation algorithm, and an implementation system for the improved sound source localization method. The improved sound source localization method comprises the steps of: 1, acquiring and storing sound signals; 2, separating the sound signals to obtain independent sound source signals; 3, selecting the independent sound source signal of sounds to be localized by adopting a pattern matching algorithm from the independent sound source signals; 4, and if the sound source is a single sound source, performing coarse localization at first according to a result of pattern matching calculating an envelope of the signals, performing low-resolution sampling, calculatingtime delay by adopting a generalized autocorrelation function method roughly, carrying out time domain shifting on the signals according to a point number of rough localization, then performing finelocalization, carrying out high-resolution sampling, calculating time delay by adopting the generalized autocorrelation function method to obtain precise time delay, and solving a position of the sound source; and if the sound sources are multiple, calculating time delay by adopting a TDOA algorithm and solving positions of the sound sources. Compared with the traditional TDOA algorithm, the improved sound source localization method can improve the precision to some extent, and can reduce the algorithm computation amount.

Description

technical field [0001] The invention relates to an improved sound source localization method based on a progressive serial orthogonalization blind source separation algorithm and an implementation system thereof, belonging to the technical field of sound source localization. Background technique [0002] Sound is an important carrier of information transmission in nature. By obtaining sound signals, people can not only obtain the voice information carried by the sound, but also obtain the information carried by the sound through the sound source location technology according to the characteristics of sound transmission and the transmission path itself. Location information other than content information. According to these two characteristics of sound, the acquisition of sound signals plays an irreplaceable role in security monitoring, location search, area detection and other fields. [0003] Earlier positioning methods for unknown target positions mainly relied on radio, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10L21/0272G10L25/24G01S5/20
CPCG01S5/20G10L21/0272G10L25/24
Inventor 周冉冉崔浩王永郭晓宇倪暹
Owner SHANDONG UNIV
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