Robust time delay estimation for sound source localization in noisy environments

2002 ◽  
Author(s):  
P.G. Georgiou ◽  
C. Kyriakakis ◽  
P. Tsakalides
Keyword(s):  
Time Delay ◽  
Source Localization ◽  
Sound Source ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Sound Source Localization ◽  
Noisy Environments

Research on Sound Source Localization System Based on Time Delay Estimation

2013 ◽  
Vol 397-400 ◽  
pp. 2209-2214
Author(s):  
Chuan Yi Zhang ◽  
Chang Wei Mi ◽  
Pei Yang Yao
Keyword(s):  
Time Delay ◽  
Source Localization ◽  
Sound Source ◽  
Cross Correlation ◽  
Microphone Array ◽  
Estimation Method ◽  
Correlation Method ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Sound Source Localization

In the estimation of time delay, there always would not appear obvious peak with the basic cross-correlation (CC). In order to solve the problem of the basic cross-correlation method, this essay represents an improved time delay estimation method based on the generalized cross-correlation (GCC) and combines with the microphone array structure to achieve sound source localization. Finally, the simulation results show that this method could measure the sound source’s location accurately with noise and reverberation, and the distance positioning error is less than 10cm, the direction angle error is below 3°.

scholarly journals Azimuth Tracking of Underwater Moving Sound Source Based on Time Delay Estimation Using Hydrophone Array

2017 ◽  
Vol 170 ◽  
pp. 169-176 ◽  
Author(s):  
Dhany Arifianto ◽  
Wirawan ◽  
B.T. Atmaja ◽  
Tutug Dhanardhono ◽  
Saptian A. Rahman
Keyword(s):  
Time Delay ◽  
Sound Source ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Moving Sound Source ◽  
Hydrophone Array

scholarly journals Sound Source Localization Fusion Algorithm and Performance Analysis of a Three-Plane Five-Element Microphone Array

2019 ◽  
Vol 9 (12) ◽  
pp. 2417
Author(s):  
Hongyan Xing ◽  
Xu Yang
Keyword(s):  
Time Delay ◽  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Elevation Angle ◽  
Measurement Precision ◽  
Sound Source Localization ◽  
Fusion Algorithm ◽  
Single Plane ◽  
Horizontal Angle

To reduce the negative effect on sound source localization when the source is at an extreme angle and improve localization precision and stability, a theoretical model of a three-plane five-element microphone array is established, using time-delay values to judge the sound source’s quadrant position. Corresponding judgment criteria were proposed, solving the problem in which a single-plane array easily blurs the measured position. Based on sound source geometric localization, a formula for the sound source azimuth calculation of a single-plane five-element microphone array was derived. The sinusoids and cosines of two elevation angles based on two single-plane arrays were introduced into the sound source spherical coordinates as composite weighted coefficients, and a sound source localization fusion algorithm based on a three-plane five-element microphone array was proposed. The relationship between the time-delay estimation error, elevation angle, horizontal angle, and microphone array localization performance was discussed, and the precision and stability of ranging and direction finding were analyzed. The results show that the measurement precision of the distance from the sound source to the array center and the horizontal angle are improved one to threefold, and the measurement precision of the elevation angle is improved one to twofold. Although there is a small error, the overall performance of the sound source localization is stable, reflecting the advantages of the fusion algorithm.

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