公开(公告)号：US11783713B2

公开(公告)日：2023-10-10

申请号：US18025681

申请日：2021-05-06

申请人： Nanjing University of Aeronautics and Astronautics

发明人： Qihui Wu ,  Qiuming Zhu ,  Tianxu Lan ,  Yang Huang ,  Jie Li ,  Xiaofu Du ,  Weizhi Zhong ,  Lu Han ,  Yunpeng Bai ,  Junjie Zhang ,  Kai Mao

IPC分类号： G08G5/00 ,  G05D1/10 ,  G05D1/00

CPC分类号： G08G5/003 ,  G05D1/0022 ,  G05D1/101

摘要： A method and a device for measuring a four-dimensional (4D) radiation pattern of an outdoor antenna based on an unmanned aerial vehicle (UAV) are provided. The device includes a measurement path planning unit, a UAV platform unit, a radiation signal acquisition unit, a data command processing unit, and a ground data processing unit. The measurement path planning unit, the radiation signal acquisition unit, and the data command processing unit each are suspended from the UAV platform unit by using a pod. The present disclosure applies to the radiation pattern measurement of an outdoor antenna.

公开(公告)号：US11961409B1

公开(公告)日：2024-04-16

申请号：US18522311

申请日：2023-11-29

申请人： Nanjing University of Aeronautics and Astronautics

发明人： Yang Huang ,  Miaomiao Dong ,  Xinyu Zhu ,  Wei Wang ,  Wenqiang Liu

IPC分类号： G08G5/00

CPC分类号： G08G5/0069 ,  G08G5/0021 ,  G08G5/003

摘要： An air-ground joint trajectory planning and offloading scheduling method and system for distributed multiple objectives is provided. At the beginning of each timeslot, an unmanned aerial vehicle (UAV) selects a flight direction based on a total energy consumption of all devices and a total amount of unprocessed data of all the devices in the current system, and flies a fixed distance towards a certain direction. Before the UAV reaches a new location, each terrestrial user independently selects a task data offloading scheduling strategy based on the total energy consumption of all the devices and the total amount of the unprocessed data of all the devices in the current system. In order to improve an expected long-term average energy efficiency and data processing capability, the present disclosure also provides average feedbacks for an energy consumption and unprocessed data.

公开(公告)号：US11948092B2

公开(公告)日：2024-04-02

申请号：US17786564

申请日：2021-11-08

申请人： Nanjing University of Aeronautics and Astronautics

发明人： Qihui Wu ,  Tianchen Ruan ,  Shijin Zhao ,  Fuhui Zhou ,  Yang Huang

IPC分类号： G06N3/0985

CPC分类号： G06N3/0985

摘要： A brain-inspired cognitive learning method can obtain good learning results in various environments and tasks by selecting the most suitable algorithm models and parameters based on the environments and tasks, and can correct wrong behavior. The framework includes four main modules: a cognitive feature extraction module, a cognitive control module, a learning network module, and a memory module. The memory module includes a data base, a cognitive case base, and an algorithm and hyper-parameter base, which store data of dynamic environments and tasks, cognitive cases, and concrete algorithms and hyper-parameter values, respectively. For dynamic environments and tasks, the most suitable algorithm model and hyper-parameter combination can be flexibly selected. In addition, with “good money drives out bad”, mislabeled data is corrected using correctly labeled data, to achieve robustness of training data.