Efficient source localization and tracking in reverberant environments using microphone arrays
In this paper, we propose an algorithm for acoustic source localization and tracking that is suitable for reverberant environments. The approach that we propose is based on the iterative identification of the FIR channels that link source and microphones through an LMS method (multi-channel LMS), but we propose additional solutions that significantly improve this method in terms of computational efficiency and localization reliability, without affecting its convergence properties. This is achieved through a modified block-wise implementation of the approach combined with Kalman filtering. We also show the results of extensive comparative testing using novel performance parameters for the assessment of localization reliability.