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arXiv · 1810.10788

Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport

Filip Elvander·Isabel Haasler·Andreas Jakobsson·Johan Karlsson
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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.

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Filip Elvander, Isabel Haasler, Andreas Jakobsson, Johan Karlsson. 2018-10-25. Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport. https://arxiv.org/abs/1810.10788

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