Name
Title | ||
|---|---|---|
Conservative Sensor Error Modeling Using a Modified Paired Overbound Method and its Application in Satellite-Based Augmentation Systems. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/s19122826 | SENSORS |
Keywords | Field | DocType |
error modeling,conservatism,overbound,satellite-based augmentation system | Satellite,Data loss,Position error,Algorithm,Mean squared error,Electronic engineering,Robustness (computer science),Large deviations theory,Engineering,Confidence interval,Probability density function | Journal |
Volume | Issue | ISSN |
19 | 12.0 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Zhang | 1 | 0 | 0.68 |
| Zhibin Xiao | 2 | 22 | 4.85 |
| Pengpeng Li | 3 | 0 | 0.34 |
| Xiaomei Tang | 4 | 4 | 2.11 |
| Gang Ou | 5 | 6 | 3.23 |