This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of the spatial spectrum using a convex barycenter formulation. We introduce an entropy regularization term to the convex objective, which allows for low-complexity iterations of the solution algorithm and thus makes the proposed method applicable also to higher-dimensional problems. We illustrate the proposed method's inherent robustness to misalignment and miscalibration of the sensor arrays using numerical examples of localization in two dimensions.
@article{arxiv.1810.10788,
title = {Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport},
author = {Filip Elvander and Isabel Haasler and Andreas Jakobsson and Johan Karlsson},
journal= {arXiv preprint arXiv:1810.10788},
year = {2018}
}