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Conservative Sensor Error Modeling Using a Modified Paired Overbound Method and its Application in Satellite-Based Augmentation Systems

机译:保守传感器误差建模使用改进的配对过耦方法及其在基于卫星的增强系统中的应用

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Conservative sensor error modeling is of great significance in the field of safety-of-life. At present, the overbound method has been widely used in areas such as satellite-based augmentation systems (SBASs) and ground-based augmentation systems (GBASs) that provide integrity service. It can effectively solve the difficulties of non-Gaussian and non-zero mean error modeling and confidence interval estimation of user position error. However, there is still a problem in that the model is too conservative and leads to the lack of availability. In order to further improve the availability of SBASs, an improved paired overbound method is proposed in this paper. Compared with the traditional method, the improved algorithm no longer requires the overbound function to conform to the characteristics of the probability distribution function, so that under the premise of ensuring the integrity of the system, the real error characteristics can be more accurately modeled and measured. The experimental results show that the modified paired overbound method can improve the availability of the system with a probability of about 99%. In view of the fact that conservative error modeling is more sensitive to large deviations, this paper analyzes the robustness of the improved algorithm in the case of abnormal data loss. The maximum deviation under a certain integrity risk is used to illustrate the effectiveness of the improved paired overbound method compared with the original method.
机译:保守传感器误差建模在寿命安全领域具有重要意义。目前,过耦方法已广泛用于基于卫星的增强系统(SBASS)和基于地面的增强系统(GBASS),提供完整性服务。它可以有效地解决了用户位置误差的非高斯和非零平均误差建模和置信区间估计的困难。然而,仍然存在一个问题,因为模型过于保守,并导致缺乏可用性。为了进一步提高SBAS的可用性,本文提出了一种改进的配对过耦方法。与传统方法相比,改进的算法不再需要过发电功能符合概率分布函数的特性,使得在确保系统完整性的前提下,可以更准确地建模和测量真正的误差特性。实验结果表明,改进的配对过耦方法可以提高系统的可用性,概率约为99%。鉴于保守误差建模对大偏差更敏感,本文分析了在异常数据丢失的情况下改进算法的鲁棒性。在某种完整性风险下的最大偏差用于说明与原始方法相比改进的配对过耦方法的有效性。

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