Matches in SemOpenAlex for { <https://semopenalex.org/work/W4284693459> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W4284693459 endingPage "108678" @default.
- W4284693459 startingPage "108678" @default.
- W4284693459 abstract "Distributed Kalman filter (DKF) is an effective method to solve the problem of state estimation in multi-sensor systems. However, the accuracy of conventional DKF may be influenced by the non-Gaussian noises and the accumulated errors in local Kalman filters (LKFs). To encounter the above challenges, a tightly coupled DKF with covariance intersection is proposed. In our method, using the computation outputs of LKFs, a Gaussian Mixture Model is formulated to address the influence of non-Gaussian noises. In order to reduce the cumulative errors from LKFs, covariance intersection fusion is utilized. Furthermore, an index-Huber function is designed to reduce the impact of large covariance generated by the LKFs. Several simulation and real-world experiments are conducted to show the effectiveness of our methods. The method we proposed outperforms three other DKF algorithms in the metrics of RMSE and cumulative error. In addition, a real-world multi-sensor state estimation experiment is conducted on a hexapod robot." @default.
- W4284693459 created "2022-07-08" @default.
- W4284693459 creator A5001543788 @default.
- W4284693459 creator A5041829059 @default.
- W4284693459 creator A5058284626 @default.
- W4284693459 date "2022-11-01" @default.
- W4284693459 modified "2023-10-02" @default.
- W4284693459 title "Tightly coupled distributed Kalman filter under non-Gaussian noises" @default.
- W4284693459 cites W1952261593 @default.
- W4284693459 cites W1967460951 @default.
- W4284693459 cites W1984609538 @default.
- W4284693459 cites W1989351213 @default.
- W4284693459 cites W2005841570 @default.
- W4284693459 cites W2079119589 @default.
- W4284693459 cites W2089825858 @default.
- W4284693459 cites W2246456512 @default.
- W4284693459 cites W2501182657 @default.
- W4284693459 cites W2502371239 @default.
- W4284693459 cites W2538273182 @default.
- W4284693459 cites W2603428934 @default.
- W4284693459 cites W2918758052 @default.
- W4284693459 cites W2938149683 @default.
- W4284693459 cites W3021414821 @default.
- W4284693459 cites W3043305371 @default.
- W4284693459 cites W3044145573 @default.
- W4284693459 doi "https://doi.org/10.1016/j.sigpro.2022.108678" @default.
- W4284693459 hasPublicationYear "2022" @default.
- W4284693459 type Work @default.
- W4284693459 citedByCount "1" @default.
- W4284693459 crossrefType "journal-article" @default.
- W4284693459 hasAuthorship W4284693459A5001543788 @default.
- W4284693459 hasAuthorship W4284693459A5041829059 @default.
- W4284693459 hasAuthorship W4284693459A5058284626 @default.
- W4284693459 hasConcept C105795698 @default.
- W4284693459 hasConcept C11413529 @default.
- W4284693459 hasConcept C121332964 @default.
- W4284693459 hasConcept C154945302 @default.
- W4284693459 hasConcept C157286648 @default.
- W4284693459 hasConcept C163716315 @default.
- W4284693459 hasConcept C178650346 @default.
- W4284693459 hasConcept C206833254 @default.
- W4284693459 hasConcept C2775924081 @default.
- W4284693459 hasConcept C33923547 @default.
- W4284693459 hasConcept C41008148 @default.
- W4284693459 hasConcept C47446073 @default.
- W4284693459 hasConcept C62520636 @default.
- W4284693459 hasConcept C83042196 @default.
- W4284693459 hasConcept C8639503 @default.
- W4284693459 hasConceptScore W4284693459C105795698 @default.
- W4284693459 hasConceptScore W4284693459C11413529 @default.
- W4284693459 hasConceptScore W4284693459C121332964 @default.
- W4284693459 hasConceptScore W4284693459C154945302 @default.
- W4284693459 hasConceptScore W4284693459C157286648 @default.
- W4284693459 hasConceptScore W4284693459C163716315 @default.
- W4284693459 hasConceptScore W4284693459C178650346 @default.
- W4284693459 hasConceptScore W4284693459C206833254 @default.
- W4284693459 hasConceptScore W4284693459C2775924081 @default.
- W4284693459 hasConceptScore W4284693459C33923547 @default.
- W4284693459 hasConceptScore W4284693459C41008148 @default.
- W4284693459 hasConceptScore W4284693459C47446073 @default.
- W4284693459 hasConceptScore W4284693459C62520636 @default.
- W4284693459 hasConceptScore W4284693459C83042196 @default.
- W4284693459 hasConceptScore W4284693459C8639503 @default.
- W4284693459 hasLocation W42846934591 @default.
- W4284693459 hasOpenAccess W4284693459 @default.
- W4284693459 hasPrimaryLocation W42846934591 @default.
- W4284693459 hasRelatedWork W2381122829 @default.
- W4284693459 hasRelatedWork W2536041363 @default.
- W4284693459 hasRelatedWork W2939299310 @default.
- W4284693459 hasRelatedWork W3193646638 @default.
- W4284693459 hasRelatedWork W4200434984 @default.
- W4284693459 hasRelatedWork W4206355502 @default.
- W4284693459 hasRelatedWork W4242707909 @default.
- W4284693459 hasRelatedWork W4246357351 @default.
- W4284693459 hasRelatedWork W2181430697 @default.
- W4284693459 hasRelatedWork W3123396195 @default.
- W4284693459 hasVolume "200" @default.
- W4284693459 isParatext "false" @default.
- W4284693459 isRetracted "false" @default.
- W4284693459 workType "article" @default.