FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386814354> ?p ?o ?g. }

• W4386814354 endingPage "10390" @default.
• W4386814354 startingPage "10390" @default.
• W4386814354 abstract "To improve the positioning accuracy of unmanned ships, a multi-sensor system including ZigBee, a Global Positioning System (GPS), and BeiDou Navigation Satellite System (BDS) is constructed, and an adaptive multi-sensor data fusion positioning method based on the threshold and hierarchical capacity particle filter (TCPF) is designed. First, the ZigBee-GPS/BDS multi-sensor measurement data is preprocessed to achieve a consistent space–time reference and transformed into the same coordinate system by projection. Then, the fault data is weighted and corrected through the consistency inspection of ZigBee-GPS/BDS multi-sensor positioning data, and the corresponding confidence factor is given according to the confidence distance of the positioning data; furthermore, the confidence factor is associated with stratified sampling. After that, the multi-sensor positioning data is filtered and denoised using a basic particle filter. Finally, a TCPF data fusion algorithm is designed, and the navigation positioning data of the unmanned ship is fused and filtered to obtain its positioning information. Numerical tests show that compared with other filtering algorithms, the mean square root error and standard deviation of the proposed TCPF algorithm decrease by an average of 25.0% and 28.0%, respectively, which verifies its high filtering accuracy and its advantages in suppressing particle degradation and avoiding sample scarcity. The experimental tests show that compared with other fusion algorithms, the proposed TCPF algorithm can not only realize the precise positioning during unmanned ship navigation, but also in the positioning and fault tolerance test, the average positioning error, root-mean-square error, and standard deviation of the former decrease by 36.0%, 38.0%, and 37.0%, respectively, and the corresponding performance indicators of the latter decrease by an average of 20.0%, 19.5%, and 17.5%, which verifies that it has the advantages of high data reliability and good filtering fault tolerance, and helps to improve the positioning accuracy of unmanned ships." @default.
• W4386814354 created "2023-09-18" @default.
• W4386814354 creator A5009129294 @default.
• W4386814354 creator A5038929660 @default.
• W4386814354 creator A5052325974 @default.
• W4386814354 creator A5083675785 @default.
• W4386814354 date "2023-09-17" @default.
• W4386814354 modified "2023-09-27" @default.
• W4386814354 title "Research on Multi-Sensor Data Fusion Positioning Method of Unmanned Ships Based on Threshold- and Hierarchical-Capacity Particle Filter" @default.
• W4386814354 cites W2262122146 @default.
• W4386814354 cites W2930009338 @default.
• W4386814354 cites W2987038946 @default.
• W4386814354 cites W3182473955 @default.
• W4386814354 cites W3216317906 @default.
• W4386814354 cites W4283376204 @default.
• W4386814354 cites W4294710671 @default.
• W4386814354 doi "https://doi.org/10.3390/app131810390" @default.
• W4386814354 hasPublicationYear "2023" @default.
• W4386814354 type Work @default.
• W4386814354 citedByCount "0" @default.
• W4386814354 crossrefType "journal-article" @default.
• W4386814354 hasAuthorship W4386814354A5009129294 @default.
• W4386814354 hasAuthorship W4386814354A5038929660 @default.
• W4386814354 hasAuthorship W4386814354A5052325974 @default.
• W4386814354 hasAuthorship W4386814354A5083675785 @default.
• W4386814354 hasBestOaLocation W43868143541 @default.
• W4386814354 hasConcept C106131492 @default.
• W4386814354 hasConcept C154945302 @default.
• W4386814354 hasConcept C31972630 @default.
• W4386814354 hasConcept C33954974 @default.
• W4386814354 hasConcept C41008148 @default.
• W4386814354 hasConcept C52421305 @default.
• W4386814354 hasConcept C60229501 @default.
• W4386814354 hasConcept C76155785 @default.
• W4386814354 hasConcept C79403827 @default.
• W4386814354 hasConceptScore W4386814354C106131492 @default.
• W4386814354 hasConceptScore W4386814354C154945302 @default.
• W4386814354 hasConceptScore W4386814354C31972630 @default.
• W4386814354 hasConceptScore W4386814354C33954974 @default.
• W4386814354 hasConceptScore W4386814354C41008148 @default.
• W4386814354 hasConceptScore W4386814354C52421305 @default.
• W4386814354 hasConceptScore W4386814354C60229501 @default.
• W4386814354 hasConceptScore W4386814354C76155785 @default.
• W4386814354 hasConceptScore W4386814354C79403827 @default.
• W4386814354 hasIssue "18" @default.
• W4386814354 hasLocation W43868143541 @default.
• W4386814354 hasOpenAccess W4386814354 @default.
• W4386814354 hasPrimaryLocation W43868143541 @default.
• W4386814354 hasRelatedWork W1529761805 @default.
• W4386814354 hasRelatedWork W1671566079 @default.
• W4386814354 hasRelatedWork W2007514163 @default.
• W4386814354 hasRelatedWork W2075684023 @default.
• W4386814354 hasRelatedWork W2145375532 @default.
• W4386814354 hasRelatedWork W2384630443 @default.
• W4386814354 hasRelatedWork W2564890757 @default.
• W4386814354 hasRelatedWork W2756658427 @default.
• W4386814354 hasRelatedWork W2893889765 @default.
• W4386814354 hasRelatedWork W653682969 @default.
• W4386814354 hasVolume "13" @default.
• W4386814354 isParatext "false" @default.
• W4386814354 isRetracted "false" @default.
• W4386814354 workType "article" @default.