This demo uses sound to identify the location of an object. The listening array is two microphones, which will allow us to estimate the position along the straight line between the microphones. Location estimation is based solely on the rms value of the noise measured at the two microphones. Note that the algorithm in a real acoustic tracking application will be much more complicated, relying heavily on phase information to identify source location, and spectral analysis for source characterization.
MathWorks Data Acquisition Toolbox Team (2022). Acoustic Tracker (Updated) (https://www.mathworks.com/matlabcentral/fileexchange/3089-acoustic-tracker-updated), MATLAB Central File Exchange. Retrieved .
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