Source Localization in an Acoustic Waveguide in the Presence of Distributed Dynamic Noise with Unknown Covariance Matrix

Abstract

Within the framework of the worst-case reception scenario, we have constructed an adaptive mode MUSIC algorithm intended to localize sources in an acoustic waveguide with inaccurately known parameters in the presence of spatially correlated dynamic noise. The algorithm is based on an iterative procedure that allows one to estimate unknown elements of the noise covariance matrix and eventually determine the desired positions of the sources. The results of comparing the efficiency of the proposed estimation technique (which takes into account the difference between the true and expected mode composition) with the conventional maximum likelihood and element-space MUSIC methods are presented.