EAN: 9783031004001

SYNTHESIS LECTURES ON ALGORITHMS AND SOFTWARE I...

The adaptive configuration of nodes in a sensor network has the potential to improve sequential
estimation performance by intelligently allocating limited sensor network resources. In
addition  the use of heterogeneous sensing nodes provides a diversity of information that also
enhances estimation performance. This work reviews cognitive systems and presents a cognitive
fusion framework for sequential state estimation using adaptive configuration of heterogeneous
sensing nodes and heterogeneous data fusion. This work also provides an application of
cognitive fusion to the sequential estimation problem of target tracking using foveal and radar
sensors.

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