Non-coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport

Filip Elvander; Isabel Haasler; Andreas Jakobsson; Johan Karlsson

ICASSP 2019accepted0 citations

Non-coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport

Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson

Abstract

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.

BibTeX

@inproceedings{icassp2019_noncoherentsenso,
  title = {Non-coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport},
  author = {Filip Elvander and Isabel Haasler and Andreas Jakobsson and Johan Karlsson},
  booktitle = {ICASSP 2019},
  year = {2019}
}