aishoot / Sound_localization_algorithms
Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.
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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
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
Reference Website
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