Source localization and tracking for possibly unknown signal propagation model

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Summary

This thesis considers source localization and tracking when both the signal propagation model and the source motion dynamics are unknown, and develops algorithms that exploit the strictly decreasing properties of the model in terms of distance, but do not depend on the form and the values of the models.

Type
dissertation
Published
2014-12-01
Cited by
0
References
29
Access
Open access

Keywords

SIGNAL (programming language), Tracking (education), Convergence (economics), Computer science, Algorithm

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