Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Laitian Cao"'
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811694226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab34245e0527613ff635658e557ede0
https://doi.org/10.1007/978-981-16-9423-3_87
https://doi.org/10.1007/978-981-16-9423-3_87
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811694226
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75de52c38d194234f013765b71c71148
https://doi.org/10.1007/978-981-16-9423-3_86
https://doi.org/10.1007/978-981-16-9423-3_86
Publikováno v:
2021 7th International Conference on Robotics and Artificial Intelligence.
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811584107
This paper addresses the inability of the strapdown seeker to indirectly measure line-of-sight (LOS) rate and the strongly nonlinear relative motion equations of missile and target. Strong tracking theory is combined with cubature Kalman filter (CKF)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34ddbdad89fafb5d81cf5bac0b2e7770
https://doi.org/10.1007/978-981-15-8411-4_124
https://doi.org/10.1007/978-981-15-8411-4_124
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811584107
This article proposed a cm-wave and mm-wave dual-frequency active composite detection guidance technology, analyzed the advantages of cm-wave and mm-wave dual-frequency active composite detection guidance. The dual-frequency active composite detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5c312b72ed9cd7ce0255fecbd774601
https://doi.org/10.1007/978-981-15-8411-4_15
https://doi.org/10.1007/978-981-15-8411-4_15
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811584107
The information fusion algorithm based on extended Kalman filter is widely used in the field of information fusion because of its relatively simple algorithm and solid theoretical foundation. This paper uses the advantages of neural networks and thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3a452561184f58ada3183f4f177e5f4
https://doi.org/10.1007/978-981-15-8411-4_65
https://doi.org/10.1007/978-981-15-8411-4_65