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An Alternate Derivation of Polar/Spherical to Cartesian Measurement Conversion Using Conditional Density

机译:使用条件密度的极/球形到笛卡尔测量转换的替代推导

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Common methods for calculating the converted Cartesian position measurement and associated covariance from polar or spherical measurements are: standard conversion, debiased conversion, unbiased conversion, and modified unbiased conversion (MUC). In this paper we present an alternate derivation of the converted Cartesian position measurement and associated covariance from polar or spherical measurements. First we obtain the conditional density of the true polar or spherical variables conditioned on the measurement. Then we derive all moments of the Cartesian position using this conditional density. We show that these two moments of the Cartesian position can be calculated exactly assuming that measurement errors are zero-mean Gaussian and independent. We propose that “conditional mean” and “conditional covariance” would be better terminology than “MUC measurement.”
机译:从极性或球形测量值计算转换的笛卡尔位置测量值和相关协方差的常用方法是:标准转换,无偏转换,无偏转换和修正无偏转换(MUC)。在本文中,我们提出了从极坐标或球形测量中转换的笛卡尔位置测量值和相关协方差的另一种派生方法。首先,我们获得以测量为条件的真实极性或球形变量的条件密度。然后,我们使用此条件密度导出笛卡尔位置的所有矩。我们表明,笛卡尔位置的这两个力矩可以精确地假定测量误差为零均值高斯且独立的情况下进行计算。我们建议“条件均值”和“条件协方差”比“ MUC度量”更好的术语。

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