Sound Source Localization

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

Usage

matlab -nodesktop -nosplash –r matlabfile (name of .m)

Algorithm Interpretation

• Beamforming: a spatial filtering method, is a signal processing technique used in sensor arrays for directional signal transmission or reception.
• MUSIC: Multiple Signal Classification
• ESPRIT: Estimation of Signal Parameters via Rotational Invariance Technique
• MVDR: Minimum Variance Distortionless Response
• GCC-PHAT: Generalized Cross Correlation - Phase Transform (TDOA estimation)
• SRP-PHAT: Steered Response Power - Phase Transform

Reference Paper

• Paper 1
  • Title: Comparison of Direction of Arrival (DOA) Estimation Techniques for Closely Spaced Targets
  • Authors: Nauman Anwar Baig and Mohammad Bilal Malik
  • Published: International journal of future computer and communication 2, no. 6 (2013): 654
• Paper 2
  • Title: Outdoor sound localization using a tetrahedral array

Results

1. Algorithm Summary

1.1 Classical Beamforming

1.2 Min-Norm

1.3 MUSIC

1.4 MVDR

2. Beamforming

2.1 microphone array

2.2 Two-dimensional map of localization result

2.3 Three-dimensional map of localization result

3. MUSIC

3.1 matlab_implement2 (BEST)

3.3 matlab_implement1

Reference Book

• Microphone Array Beamforming

Reference Website

• Matlab files for various types of beamforming
• 空间谱专题02：波束形成（Beamforming）
• 空间谱专题10：MUSIC算法
• MUSIC算法分析和实现
• MUSIC算法
• 子空间分析方法
• Lijiawei16/beamforming
• msamsami/doa-estimation-music
• rkakshay/ssl
• 阵列信号基础之1：MUSIC算法
• BSS Locate - A toolbox for source localization in stereo convolutive audio mixtures