Abstract:Providing accurate and reliable railway regional environmental data is a key consideration in operation control and dynamic dispatching of high-speed train. However, there are problems of low reliability and high uncertainty in the single data processing of high-speed train operating area environment. Therefore, this paper proposes a novel multisource sensor data fusion method based on a three-level information fusion framework. Firstly, the feature of the same kind of sensor data is extracted by the Kalman Fi… Show more
“…In the experiment of this paper, t is taken from 0 to 10Π evenly divided into 2000 points, each unit moment the target sequence of flight to a point in (3). It is calculated that after every 111 moments, the target will circle the eight-letter route, the target trajectory true value data is shown Fig.…”
Section: Sample Set Of Simulation Datamentioning
confidence: 99%
“…It provides commanders with decision-making information by detecting, associating, tracking, estimating and integrating the 1 ironment Architecture Analysis for Multi -source Data Fusion Scenario targets concerned through spatially distributed multi-source data and spatiotemporal sampling of various sensors [2]. At present, this technology is widely used in transportation engineering [3], environmental science [4] and engineering, medical treatment [5] and other fields.…”
Multi-source data fusion techniques are widely applied in dynamic target detection scenarios, such as target situational awareness, radar signal resolution, and feature fusion labeling. Currently, techniques including clustering, neural networks, Bayesian analysis, and machine learning have been applied to improve the success rate of multi-source data fusion in terms of interference data noise reduction. However, there are fewer studies and applications in terms of data tamper-proofing from the data source itself and running the computation process in a trusted execution environment. Accordingly, this paper proposes a trusted execution environment architecture based on blockchain technology for multi-source data fusion scenarios, and integrates the strategy of trusted data source data verification in blockchain smart contracts into the typical multi-source data fusion application architecture. After comparison tests in a simulation environment, the trusted execution environment architecture based on blockchain technology is able to obtain a considerable improvement in fusion success rate with limited performance cost.
“…In the experiment of this paper, t is taken from 0 to 10Π evenly divided into 2000 points, each unit moment the target sequence of flight to a point in (3). It is calculated that after every 111 moments, the target will circle the eight-letter route, the target trajectory true value data is shown Fig.…”
Section: Sample Set Of Simulation Datamentioning
confidence: 99%
“…It provides commanders with decision-making information by detecting, associating, tracking, estimating and integrating the 1 ironment Architecture Analysis for Multi -source Data Fusion Scenario targets concerned through spatially distributed multi-source data and spatiotemporal sampling of various sensors [2]. At present, this technology is widely used in transportation engineering [3], environmental science [4] and engineering, medical treatment [5] and other fields.…”
Multi-source data fusion techniques are widely applied in dynamic target detection scenarios, such as target situational awareness, radar signal resolution, and feature fusion labeling. Currently, techniques including clustering, neural networks, Bayesian analysis, and machine learning have been applied to improve the success rate of multi-source data fusion in terms of interference data noise reduction. However, there are fewer studies and applications in terms of data tamper-proofing from the data source itself and running the computation process in a trusted execution environment. Accordingly, this paper proposes a trusted execution environment architecture based on blockchain technology for multi-source data fusion scenarios, and integrates the strategy of trusted data source data verification in blockchain smart contracts into the typical multi-source data fusion application architecture. After comparison tests in a simulation environment, the trusted execution environment architecture based on blockchain technology is able to obtain a considerable improvement in fusion success rate with limited performance cost.
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