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Distribution of Test Statistic for Euclidean Distance Matrices
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Methods for global navigation satellite system fault detection using Euclidean Distance Matrices have been presented recently in the literature. Published methods define a test statistic in terms of eigenvalues of a certain matrix, but the distribution of the test statistic was not known, which presented a barrier to practical implementation. This document was a personal correspondence from Beatty to Derek Knowles. It includes a brief derivation of the distribution of the test statistic and a representative case showing that the theoretical distribution closely matches a simulated empirical distribution.
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A note on Global Positioning System (GPS) and Euclidean distance matrices
For a fixed satellite distance matrix, the closest squared-pseudorange vector that keeps the augmented Euclidean distance matrix at the right embedding dimension is characterized by a rank condition and found by one-d...
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