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Robust Positioning Systems in the Presence of Outliers Under Weak GPS Signal Conditions

机译:GPS信号弱的情况下,离群值存在的稳健定位系统

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摘要

In this paper, two epoch-by-epoch robust positioning techniques for global positioning system (GPS) are proposed to deal with the problem of positioning in weak signal conditions in which the probability of outlier in signal acquisition is larger than zero. We propose to accept outliers into the positioning algorithm, however, in this case either robust estimation or outlier detection must be used to overcome the devastating effect of such outliers on traditional positioning algorithms. In order to improve the sensitivity of a GPS receiver, we propose to use novel methods that are able to deal with the problem of estimating the position of a receiver based on pseudo-ranging measurements that are contaminated by outliers. Simulations are carried out to demonstrate the robustness of the proposed techniques in terms of success rate of the algorithms in finding the correct solution, when there are a different number of outliers in ranging measurements from satellites.
机译:本文提出了两种针对全球定位系统(GPS)的逐周期鲁棒定位技术,以解决信号采集中异常值大于零的弱信号条件下的定位问题。我们建议将异常值纳入定位算法,但是,在这种情况下,必须使用鲁棒估计或异常值检测来克服此类异常值对传统定位算法的破坏性影响。为了提高GPS接收器的灵敏度,我们建议使用新颖的方法,该方法能够处理被异常值污染的伪距测量值估计接收器位置的问题。当在从卫星进行的测距中存在不同数量的异常值时,进行仿真以根据算法在找到正确解决方案的成功率方面证明所提出技术的鲁棒性。

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