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1.发明授权公开(公告)号：US11777636B2
公开(公告)日：2023-10-03
申请号：US17901871
申请日：2022-09-02
Inventor： Nan Qi , Luliang Jia , Diliao Ye , Qihui Wu , Xiaojie Li , Yijia Liu , Wei Wang
IPC: H04K3/00
CPC classification number: H04K3/224
Abstract: A joint link-level and network-level intelligent system and method for dynamic spectrum anti-jamming are provided. The system includes a link-level anti-jamming subsystem and a network-level anti-jamming subsystem. The link-level anti-jamming subsystem sets a reward value as system transmission throughput in a single decision cycle, and a user makes an intelligent frequency usage decision based on the obtained reward value to skip a frequency band in which jamming exists. The network-level anti-jamming subsystem performs reasonable frequency band allocation and management for lower-level sub-users when link-level anti-jamming fails to further enhance a frequency domain anti-jamming capability of the entire system. The users make intelligent frequency usage decisions through a dynamic spectrum anti-jamming algorithm based on reinforcement learning to effectively avoid external malicious jamming, realize dynamic spectrum access, and enhance a frequency domain anti-jamming capability of the system.
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公开(公告)号：US12092478B2
公开(公告)日：2024-09-17
申请号：US18227988
申请日：2023-07-31
Inventor： Qiuming Zhu , Kai Mao , Yanheng Qiu , Xiaomin Chen , Boyu Hua , Zhipeng Lin , Xuchao Ye , Weizhi Zhong , Fuqiao Duan , Qihui Wu
IPC: G01C21/00
CPC classification number: G01C21/3852 , G01C21/3841 , G01C21/3848
Abstract: According to a surveying and mapping instrument and method for a wide-area spatial channel map through multi-unmanned aerial vehicle (UAV) cooperation, a measurement signal emission unit generates and emits a measurement signal, a measurement signal multi-UAV cooperative receiving unit receives the measurement signal transmitted through a wireless channel, extracts an effective multipath component from the measurement signal, and frames the effective multipath component and corresponding time and location information for storage, and transmits stored channel data to a channel data fusion processing unit offline, and the channel data fusion processing unit fuses the channel data in terms of space, time, and frequency dimensions, and completes missing channel data to construct a complete wide-area spatial channel map.
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Patent Agency Ranking
公开(公告)号：US12235344B2
公开(公告)日：2025-02-25
申请号：US17732531
申请日：2022-04-29
Inventor： Benzhou Jin , Yutong Shen , Jianfeng Li , Xiaofei Zhang , Qihui Wu
Abstract: The present invention provides a radar target detection method based on estimation before detection (EBD), which comprises: obtaining pre-detect targets (PDTs) based on conventional pulse-Doppler processing and pre-detection; estimating ranges and speeds of PDTs, i.e., performing parameter EBD; establishing a dimension-reduction observation model of a received signal based on PDTs and parameter thereof; reconstructing a target vector in the dimension-reduction observation model based on a sparse recovery algorithm; and designing a generalized likelihood ratio detector based on the reconstruction result for target detection. The method of the present invention can significantly reduce the radar signal processing loss, and the target detector used in the method has the constant false alarm rate (CFAR) property, so that the weak target detection performance can be greatly improved.
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公开(公告)号：US11948092B2
公开(公告)日：2024-04-02
申请号：US17786564
申请日：2021-11-08
Inventor： Qihui Wu , Tianchen Ruan , Shijin Zhao , Fuhui Zhou , Yang Huang
IPC: G06N3/0985
CPC classification number: G06N3/0985
Abstract: 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.
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公开(公告)号：US11681006B2
公开(公告)日：2023-06-20
申请号：US17882636
申请日：2022-08-08
Inventor： Jianfeng Li , Qiting Zhang , Benzhou Jin , Xiaofei Zhang , Qihui Wu
Abstract: A method for jointly estimating gain-phase error and direction of arrival (DOA) based on an unmanned aerial vehicle (UAV) array includes: equipping each UAV with an antenna, and forming a receive array through a swarm of multiple UAVs to receive source signals; when an observation baseline of the swarm remains unchanged, changing array manifold through movement of the UAVs, and re-sensing the source signals; for each sensed source signals, calculating a covariance matrix, and obtaining a corresponding noise subspace through eigenvalue decomposition; and constructing a quadratic optimization problem based on the noise subspace and array steering vector, constructing a cost function, and implementing joint estimation of the gain-phase error and the DOA through spectrum peak search. The method can jointly estimate the DOA and gain-phase error and calibrate the gain-phase error, thereby improving accuracy of passive positioning.
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公开(公告)号：US11783713B2
公开(公告)日：2023-10-10
申请号：US18025681
申请日：2021-05-06
Inventor： Qihui Wu , Qiuming Zhu , Tianxu Lan , Yang Huang , Jie Li , Xiaofu Du , Weizhi Zhong , Lu Han , Yunpeng Bai , Junjie Zhang , Kai Mao
CPC classification number: G08G5/003 , G05D1/0022 , G05D1/101
Abstract: 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.
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公开(公告)号：US11700156B1
公开(公告)日：2023-07-11
申请号：US17901860
申请日：2022-09-02
CPC classification number: H04L27/0012 , G06N3/08 , G06N5/02
Abstract: An intelligent data and knowledge-driven method for modulation recognition includes the following steps: collecting spectrum data; constructing corresponding attribute vector labels for different modulation schemes; constructing and pre-training an attribute learning model based on the attribute vector labels for different modulation schemes; constructing and pre-training a visual model for modulation recognition; constructing a feature space transformation model, and constructing an intelligent data and knowledge-driven model for modulation recognition based on the attribute learning model and the visual model; transferring parameters of the pre-trained visual model and the pre-trained attribute learning model and retraining the transformation model; and determining whether training on a network is completed and outputting a classification result. The intelligent data and knowledge-driven method for modulation recognition significantly improves the recognition accuracy at low SNRs and reduces the confusion between higher-order modulation schemes.
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