Comparison of Deconvolution Algorithms of Phased Microphone Array for Sound Source Localization in an Airframe Noise Test

2020 ◽  
pp. 81-90
Author(s):  
Jiayu Wang ◽  
Wei Ma
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Microphone Array ◽  
Sound Source Localization ◽  
Airframe Noise ◽  
Noise Test

scholarly journals Arbitrary Microphone Array Optimization Method Based on TDOA for Specific Localization Scenarios

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4326 ◽  
Author(s):  
Haitao Liu ◽  
Thia Kirubarajan ◽  
Qian Xiao
Keyword(s):  
Source Localization ◽  
Sound Source ◽  
Optimization Model ◽  
Microphone Array ◽  
Optimization Method ◽  
Sound Source Localization ◽  
Positioning Accuracy ◽  
Specific Localization ◽  
Array Structures ◽  
Array Optimization

Various microphone array geometries (e.g., linear, circular, square, cubic, spherical, etc.) have been used to improve the positioning accuracy of sound source localization. However, whether these array structures are optimal for various specific localization scenarios is still a subject of debate. This paper addresses a microphone array optimization method for sound source localization based on TDOA (time difference of arrival). The geometric structure of the microphone array is established in parametric form. A triangulation method with TDOA was used to build the spatial sound source location model, which consists of a group of nonlinear multivariate equations. Through reasonable transformation, the nonlinear multivariate equations can be converted to a group of linear equations that can be approximately solved by the weighted least square method. Then, an optimization model based on particle swarm optimization (PSO) algorithm was constructed to optimize the geometric parameters of the microphone array under different localization scenarios combined with the spatial sound source localization model. In the optimization model, a reasonable fitness evaluation function is established which can comprehensively consider the positioning accuracy and robustness of the microphone array. In order to verify the array optimization method, two specific localization scenarios and two array optimization strategies for each localization scenario were constructed. The optimal array structure parameters were obtained through numerical iteration simulation. The localization performance of the optimal array structures obtained by the method proposed in this paper was compared with the optimal structures proposed in the literature as well as with random array structures. The simulation results show that the optimized array structure gave better positioning accuracy and robustness under both specific localization scenarios. The optimization model proposed could solve the problem of array geometric structure design based on TDOA and could achieve the customization of microphone array structures under different specific localization scenarios.

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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