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pro vyhledávání: '"Sumanta Kumar Nanda"'
Autor:
Sumanta Kumar Nanda, Guddu Kumar, Amit Kumar Naik, Mohammed Abdel-Hafez, Vimal Bhatia, Ondrej Krejcar, Abhinoy Kumar Singh
Publikováno v:
IEEE Access, Vol 11, Pp 88637-88648 (2023)
State estimation in cyber-physical systems is a challenging task involving integrating physical models and measurements to estimate dynamic states accurately in practical machine-to-machine and IoT deployments. However, integrating advanced wireless
Externí odkaz:
https://doaj.org/article/34eda0e344e44996bd9df4c5d5c80b2e
Publikováno v:
IEEE Access, Vol 9, Pp 123231-123244 (2021)
Traditionally, Kalman filter (KF) is designed with the assumptions of non-delayed measurements and additive white Gaussian noises. However, practical problems often fail to satisfy these assumptions and the conventional Kalman filter suffers from poo
Externí odkaz:
https://doaj.org/article/f389f00ffcf543c4bb20e94d7d23966f
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 58:5974-5981
Publikováno v:
Biomedical Signal Processing and Control. 84:104727
Publikováno v:
2020 IEEE 17th India Council International Conference (INDICON).
In this paper, the Cubature Kalman filter (CKF) is implemented for tracking maneuvering targets such as ballistic missiles, aircraft, etc. Its high accuracy at a relatively low computational cost makes it suitable for real-life applications. The coor