Technical Program

Paper Detail

Paper:AE-L3.6
Session:Microphone Array Signal Processing
Time:Wednesday, May 19, 11:10 - 11:30
Presentation: Lecture
Topic: Audio and Electroacoustics: Loudspeaker and Microphone Array Signal Processing
Title: AUTOMATIC POSITION CALIBRATION OF MULTIPLE MICROPHONES
Authors: Vikas Raykar; University of Maryland, College Park 
 Ramani Duraiswami; University of Maryland, College Park 
Abstract: In this paper we describe a method to automatically determine the relative three dimensional positions of multiple microphones using at least five loudspeakers in unknown positions. The only assumption we make is that there is a microphone which is very close to a loudspeaker. In our experimental setup we attach one microphone to each loudspeaker. We derive the Maximum Likelihood estimator and the solution turns out to be a non-linear least squares problem. A closed form solution which can be used as a initial guess for the minimization routine is derived. We also derive an approximate expression for covariance of the estimator using implicit function theorem. Using this we analyze the performance of the estimator with respect to the positions of the loudspeakers. The algorithm is validated using both Monte-Carlo simulations and a real-time experimental setup.
 
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