Sound Source and Microphone Localization From Acoustic Impulse Responses
Daniele Salvati, Carlo Drioli, Gian Luca Foresti · IEEE Signal Processing Letters · 2016
This letter proposes a new method for source and microphone localization in reverberant environments using a randomly arranged sensor array, under the hypothesis that the position of one reference sensor and the geometry of the environment are known, and the other microphone positions are unknown. A minimum mean square error (MMSE) estimator that exploits early reflections is proposed. The MMSE estimator is solved by a grid search method that combines the information on early reflections estimated using a multichannel blind system identification and the time difference of arrivals between the reflections and the direct-path calculated with the image-source model. Simulations under different reverberant scenarios demonstrate the ability of the proposed approaches in localizing source and microphone.