Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ziran Ding"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 12, Pp 2067-2078 (2022)
Abstract In the military and civilian surveillance domain, it is of great significance to mine regular behaviours of targets for situation awareness and command decision support. Most of the existing trajectory clustering algorithms only consider the
Externí odkaz:
https://doaj.org/article/94362a85550843a3ab29b3242fff699d
Publikováno v:
IEEE Access, Vol 7, Pp 110400-110413 (2019)
To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel distributed high-degree cubature information filter with embedded hybrid consensus (DHCIF) is proposed. The multi-dimensional Gaussian weight
Externí odkaz:
https://doaj.org/article/0d550e1e5be04ef9bf459e8b867af6b7
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 15 (2019)
To handle nonlinear filtering problems with networked sensors in a distributed manner, a novel distributed hybrid consensus–based square-root cubature quadrature information filter is proposed. The proposed hybrid consensus–based square-root cuba
Externí odkaz:
https://doaj.org/article/2d6e040638fc4514950958a38bf6c757
Publikováno v:
Sensors, Vol 19, Iss 9, p 2134 (2019)
Owing to its high-fault tolerance and scalability, the consensus-based paradigm has attracted immense popularity for distributed state estimation. If a target is neither observed by a certain node nor by its neighbors, this node is naive about the ta
Externí odkaz:
https://doaj.org/article/2385272d30b3450888aa88f4a93b7a7e
Publikováno v:
Sensors, Vol 18, Iss 7, p 2012 (2018)
Networked multiple sensors are used to solve the problem of maneuvering target tracking. To avoid the linearization of nonlinear dynamic functions, and to obtain more accurate estimates for maneuvering targets, a novel adaptive information-weighted c
Externí odkaz:
https://doaj.org/article/5b81c81afe6a452eb4f6034ab9355d8e
Publikováno v:
Chinese Journal of Aeronautics. 36:387-399
Publikováno v:
2022 IEEE International Conference on Unmanned Systems (ICUS).
Publikováno v:
2021 IEEE International Conference on Unmanned Systems (ICUS).