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Proving the Integrity of the Weighted Sum Squared Error (WSSE) Loran Cycle Confidence Algorithm

机译:证明加权和平方误差(WSSE)Loran循环置信算法的完整性

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For Loran to provide redundancy to GPS for aviation, Loran must meet aviation integrity requirements. The integrity under nominal conditions derives from being able to bound the horizontal position error via the horizontal protection level (HPL). This is accomplished by guaranteeing that the correct Loran cycles are being tracked, adequate and complete error bound models are used for the HPL, and HPL calculations are performed correctly. rnThe means of providing a guarantee on cycle selection is through a calculation of its confidence (“cycle confidence”). The cycle confidence algorithm needs to be conservative since it ensures that the measurements used by the navigation solution and the HPL is free of cycle error. When available, the algorithm uses redundant measurements in a manner similar to GPS receiver autonomous integrity measurement (RAIM) algorithms where testing using X~2 distributions are conducted. This paper will examine the use of redundant measurements in the form of the weighted sum squared error (WSSE) and determine when the X~2 assumption is valid. It will apply those results to the Loran cycle confidence algorithm and use them to help develop the demonstration of integrity.
机译:为了让Loran为航空GPS提供冗余,Loran必须满足航空完整性要求。标称条件下的完整性源自能够通过水平保护等级(HPL)限制水平位置误差。这可以通过确保跟踪正确的Loran周期,为HPL使用适当且完整的错误限制模型以及正确执行HPL计算来实现。 rn为保证周期选择提供保证的方法是通过计算其置信度(“周期置信度”)。周期置信度算法需要保守,因为它可以确保导航解决方案和HPL使用的测量没有周期误差。当可用时,该算法以类似于GPS接收器自主完整性测量(RAIM)算法的方式使用冗余测量,其中使用X〜2分布进行测试。本文将以加权和平方误差(WSSE)的形式检查冗余度量的使用,并确定X〜2假设何时有效。它将这些结果应用于Loran循环置信度算法,并使用它们来帮助开发完整性证明。

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