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

Conservative Sensor Error Modeling Using a Modified Paired Overbound Method and its Application in Satellite-Based Augmentation Systems
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DOI:
10.3390/s19122826
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发表时间:
2019-06
期刊:
Sensors (Basel, Switzerland)
影响因子:
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通讯作者:
Yan Zhang;Zhibin Xiao;Pengpeng Li;Xiaomei Tang;G. Ou
Yan Zhang;Zhibin Xiao;Pengpeng Li;Xiaomei Tang;G. Ou
中科院分区:
其他
文献类型:
--
作者:
Yan Zhang;Zhibin Xiao;Pengpeng Li;Xiaomei Tang;G. Ou

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保守的传感器误差建模在生命安全领域具有重要意义。目前,越界方法已广泛应用于提供完整性服务的星基增强系统(SBAS)和地面增强系统(GBAS)等领域。有效地解决了用户位置误差的非高斯、非零均值误差建模和置信度估计的困难。然而,仍然存在一个问题,即该模型过于保守,导致缺乏可用性。为了进一步提高SBASs的可用性,本文提出了一种改进的成对超界方法。与传统方法相比,改进算法不再要求上界函数符合概率分布函数的特征,在保证系统完整性的前提下,可以更准确地对真实误差特性进行建模和测量。实验结果表明,改进的成对超界方法可以提高系统的可用性,概率约为99%。针对保守误差建模对大偏差较为敏感的特点,分析了改进算法在异常数据丢失情况下的鲁棒性。用一定完整性风险下的最大偏差来说明改进的成对越界方法与原方法的有效性。
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.