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Universally Convergent Statistical Solution of Pseudorange Equations

机译:伪距方程的普遍收敛统计解

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摘要

Although the direct GPS solution proposed by Bancroft requires the solution of nonlinear equations, these equations may be manipulated into a smaller number of linear equations that are sufficient to determine the user position when five or more satellites are visible. Because no approximations were required to arrive at this linear form, the resulting solution cannot converge to an incorrect position the way that repeated linearization methods sometimes do. When the measured pseudoranges are noisy, the linear structure allows one to estimate the solution and know the error covariance of the estimate. The conversion to the linear form excludes information present in a single scalar nonlinear measurement equation. We derive several procedures for refining the linear estimate with this remaining information. We also demonstrate extensions of our solution techniques to differential GPS problems.
机译:尽管Bancroft提出的直接GPS解决方案需要求解非线性方程组,但是这些方程组可以处理为数量较少的线性方程组,当五个或更多卫星可见时,这些线性方程组足以确定用户位置。由于不需要近似值即可得出此线性形式,因此所得解决方案无法像有时重复线性化方法那样收敛到错误的位置。当测得的伪距有噪声时,线性结构允许人们估计解并知道估计的误差协方差。转换为线性形式不包括单个标量非线性测量方程中的信息。我们导出了一些程序,利用这些剩余信息来完善线性估计。我们还演示了我们的解决方案技术对差分GPS问题的扩展。

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