Matches in SemOpenAlex for { <https://semopenalex.org/work/W4306949870> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4306949870 abstract "GNSS-base train localization is confronted with rigorous safety level requirements, and merged with railway scenario features of polytropic operation environments and constrained trackmap. Integrating GNSS with extra assistant sensors is highly required for the effectiveness of GNSS-enabled train localization under the signal constrained or even the GNSS interference environments. Under an integrated localization architecture, how to address the nonlinearity of the system is a significant issue for precision and performance stability. The Bayesian filter provides a unified recursive framework for the data fusion which approximates the posterior density based on the Linear Minimum Mean Square Error (LMMSE). However, the filter may suffer from a failure under large prior errors. The probability distribution of the measurement noise is required as a priori knowledge to be filtered out which is usually modeled as an additive Gaussian random variable with an invariant variance. Nevertheless, with the potential GNSS signal interference from a deliberate attack, the priori probability cannot describe the likelihood probability correctly. The approximation process of the nonlinearity and the noise distribution of the fusion system is important to guarantee the reliability and resilience of GNSS-based train localization. An Adaptive Iterated Cubature Kalman Filter (AICKF) based on Maximum A Posteriori (MAP) is applied for the integrated train localization to cope with the vulnerability of GNSS under the signal interference scenarios. The solution is capable of realizing autonomous train localization with the enhanced nonlinearity approximation capability. It allows us to deal with specific GNSS interference situations where the probability density of the pseudorange noise for different visible satellites is dynamically adjusted. The proposed solution is tested based on a practical operational scenario on Qinghai-Tibet Railway. GNSS interference injection (e.g., amplitude modulation jamming) is carried out to build simulative scenarios and illustrate the performance of the proposed solution. The numerical results demonstrate the interference tolerance capability of the proposed solution with an adaptive nonlinear filtering framework, which is of great significance in trustworthy localization for GNSS-based railway train control systems." @default.
- W4306949870 created "2022-10-21" @default.
- W4306949870 creator A5004658590 @default.
- W4306949870 creator A5018041322 @default.
- W4306949870 creator A5032764121 @default.
- W4306949870 creator A5068047224 @default.
- W4306949870 creator A5085601756 @default.
- W4306949870 date "2022-10-20" @default.
- W4306949870 modified "2023-09-28" @default.
- W4306949870 title "Resilient Train Localization Based on GNSS/INS/Trackmap Integration Using a MAP-AICKF Method" @default.
- W4306949870 doi "https://doi.org/10.33012/2022.18401" @default.
- W4306949870 hasPublicationYear "2022" @default.
- W4306949870 type Work @default.
- W4306949870 citedByCount "0" @default.
- W4306949870 crossrefType "proceedings-article" @default.
- W4306949870 hasAuthorship W4306949870A5004658590 @default.
- W4306949870 hasAuthorship W4306949870A5018041322 @default.
- W4306949870 hasAuthorship W4306949870A5032764121 @default.
- W4306949870 hasAuthorship W4306949870A5068047224 @default.
- W4306949870 hasAuthorship W4306949870A5085601756 @default.
- W4306949870 hasConcept C105795698 @default.
- W4306949870 hasConcept C106131492 @default.
- W4306949870 hasConcept C11413529 @default.
- W4306949870 hasConcept C14279187 @default.
- W4306949870 hasConcept C154945302 @default.
- W4306949870 hasConcept C157286648 @default.
- W4306949870 hasConcept C206833254 @default.
- W4306949870 hasConcept C2775924081 @default.
- W4306949870 hasConcept C31972630 @default.
- W4306949870 hasConcept C33923547 @default.
- W4306949870 hasConcept C33954974 @default.
- W4306949870 hasConcept C41008148 @default.
- W4306949870 hasConcept C47446073 @default.
- W4306949870 hasConcept C49781872 @default.
- W4306949870 hasConcept C60229501 @default.
- W4306949870 hasConcept C76155785 @default.
- W4306949870 hasConcept C9810830 @default.
- W4306949870 hasConceptScore W4306949870C105795698 @default.
- W4306949870 hasConceptScore W4306949870C106131492 @default.
- W4306949870 hasConceptScore W4306949870C11413529 @default.
- W4306949870 hasConceptScore W4306949870C14279187 @default.
- W4306949870 hasConceptScore W4306949870C154945302 @default.
- W4306949870 hasConceptScore W4306949870C157286648 @default.
- W4306949870 hasConceptScore W4306949870C206833254 @default.
- W4306949870 hasConceptScore W4306949870C2775924081 @default.
- W4306949870 hasConceptScore W4306949870C31972630 @default.
- W4306949870 hasConceptScore W4306949870C33923547 @default.
- W4306949870 hasConceptScore W4306949870C33954974 @default.
- W4306949870 hasConceptScore W4306949870C41008148 @default.
- W4306949870 hasConceptScore W4306949870C47446073 @default.
- W4306949870 hasConceptScore W4306949870C49781872 @default.
- W4306949870 hasConceptScore W4306949870C60229501 @default.
- W4306949870 hasConceptScore W4306949870C76155785 @default.
- W4306949870 hasConceptScore W4306949870C9810830 @default.
- W4306949870 hasLocation W43069498701 @default.
- W4306949870 hasOpenAccess W4306949870 @default.
- W4306949870 hasPrimaryLocation W43069498701 @default.
- W4306949870 hasRelatedWork W1986534642 @default.
- W4306949870 hasRelatedWork W2060572628 @default.
- W4306949870 hasRelatedWork W2169319966 @default.
- W4306949870 hasRelatedWork W2233054370 @default.
- W4306949870 hasRelatedWork W2351720168 @default.
- W4306949870 hasRelatedWork W2540057404 @default.
- W4306949870 hasRelatedWork W2906992326 @default.
- W4306949870 hasRelatedWork W3046591999 @default.
- W4306949870 hasRelatedWork W3154401323 @default.
- W4306949870 hasRelatedWork W3183637538 @default.
- W4306949870 isParatext "false" @default.
- W4306949870 isRetracted "false" @default.
- W4306949870 workType "article" @default.