A Practical Method to Predict an Upper Bound for Minimum Variance Track-to-Track Fusion

What is it about?

This work provides an efficient method for track-to-track fusion of two correlated signals when the correlation information is not available.

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Why is it important?

This work has many applications in multi-sensor tracking systems especially when the communication range between sensors is limited and communication failure is likely to happen. In fact, the presented method is robust to communication failure in a sensor network.