Covariance Matrix in target tracking algorithms has a critical role at multi-
sensor track fusion systems. This matrix reveals the uncertainty of state es-
timates that are obtained from diferent sensors. So, many subproblems of
track fusion usually utilize this matrix to get more accurate results. That is
why this matrix should be interchanged between the nodes of the multi-sensor
tracking system. This thesis mainly deals with analysis of approximations of
the covariance matrix that can best represent this matrix in order to efectively
transmit this matrix to the demanding site. Kullback-Leibler (KL) Distance
is exploited to derive some of the representations for Gaussian case. Also com-
parison of these representations is another objective of this work and this is
based on the fusion performance of the representations and the performance
is measured for a system of a 2-radar track fusion system.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12609026/index.pdf |
| Date | 01 November 2007 |
| Creators | Gunay, Melih |
| Contributors | Demirekler, Mubeccel |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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