Positioning Error Probability for Some Forms of Center-of-Gravity Algorithms Calculated with the Cumulative Distributions. Part I

Abstract

To complete a previous paper, the probability density functions of the center-of-gravity as positioning algorithm are derived with classical methods. These methods, as suggested by the textbook of Probability, require the preliminary calculation of the cumulative distribution functions. They are more complicated than those previously used for these tasks. In any case, the cumulative probability distributions could be useful. The combinations of random variables are those essential for track fitting $x=\xi /(\xi +\eta )$, $x=\theta (x_3-x_1)(-x_3)/(x_3+x_2)+\theta (x_1-x_3)x_1/(x_1+x_2)$ and $x=(x_1-x_3)/(x_1+x_2+x_3)$. The first combination is a partial form of the two strip center-of-gravity. The second is the complete form, and the third is a simplified form of the three strip center-of-gravity. The cumulative probability distribution of the first expression was reported in the previous publications. The standard assumption is that $\xi$, $\eta$, $x_1$, $x_2$ and $x_3$ are independent random variables.

arXiv comment16 pages, 13 figures, Classical method of derivations

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Cited by in corpus (1)

• Probability Distributions of Positioning Errors for Some Forms of Center-of-Gravity Algorithms