基于观测方程总残差的GPS多异常点级联检测新方法

Yun Zhang, Falin Wu, H. Isshiki
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引用次数: 1

摘要

提出了一种利用全球定位系统(GPS)的冗余伪距测量进行故障检测的接收机自主完整性监测技术(RAIM)。传统的raim仅使用最小二乘算法的残差,可以高概率地检测到单个异常点,但往往不能正确检测到多个异常点。本文提出了一种新的串级检测GPS多离群点的方法。该方法通过多个离群点搜索步骤检测出多个离群点。在每一步中,对错误的观测值进行权值降低后估计LSM总残差。数值结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new cascade method for detecting GPS multiple outliers based on total residuals of observation equations
A technology of Receiver Autonomous Integrity Monitoring (RAIM) is developed to detect faults with redundant Global Position System (GPS) pseudorange measurements. Conventional RAIMs use only the residuals of the least square algorithm and can detect the single outlier with high probability, but they fail frequently to detect the multiple outliers correctly. This article develops a new cascade method to detect GPS multiple outliers. In the method, multiple outliers will be detected with several outlier searching steps. In the every step, LSM total residuals will be estimated after lowering of weight in wrong observations. The numerical results proved the effectiveness of the proposed cascade method.
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