Nanjing University of Aeronautics and Astronautics

Other

Samsung Electronics Co., Ltd.

Xiaofei Zhang

Qihui Wu

Yuan Zhang

Lin Ding

Yang Huang

Weizhi Zhong

Qiuming Zhu

Kai Mao

Aiguo Zhang

Tianyu Hu

Jianfeng Li

Xuan Wu

Benzhou Jin

Genying Xie

Yutong Shen

Zhiren Gong

Xia Xu

Yiwei Lu

Deyang Kong

Qiting Zhang

Yingang Xue

Jiaquan Teng

A three-dimensional (3D) spectrum situation completion method and device based on a generative adversarial network includes performing graying and coloring preprocessing based on incomplete 3D spectrum situations from historical or empirical spectrum data obtained by a UAV through sampling a target region, obtaining three-channel incomplete 3D spectrum situation maps displayed in colors, forming a training set based on the incomplete 3D spectrum situation maps; training the generative adversarial network based on the training set and obtaining a trained generator network in the generative adversarial network, performing graying and coloring preprocessing based on a measured incomplete 3D spectrum situation obtained by the UAV through sampling a specified measurement region, obtaining a three-channel measured incomplete 3D spectrum situation map displayed in colors, and using the measured incomplete 3D spectrum situation map as input data to the generator network to obtain a three-channel measured complete 3D spectrum situation map displayed in colors.

Three-dimensional spectrum situation completion method and device based on generative adversarial network

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.

Radar target detection method based on estimation before detection

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.

Method for jointly estimating gain-phase error and direction of arrival (DOA) based on unmanned aerial vehicle (UAV) array

The present application discloses interaction method, system, and device for information. After recognizing a non-transparent shielding object or a second device, a first device with a light-sensing screen provided in the embodiments of the present application transmits shielded screen information to the second device for processing. One example is that the second device sends an operation instruction to the first device with a light-sensing screen according to a use scenario of a user, to change the screen information stored or/and displayed in the first device with a light-sensing screen. In this way, Interaction for information according to user requirements based on a photosensitive recognition technology between different devices may be implemented according to this application.

Interaction method, system, and device for information

The invention discloses an in-situ passive sampling device based on physical and chemical and bio-coupling monitoring and use thereof, the device comprises a foam plastic tray on the water surface, a supporting connection device under the water surface, a fish farming device and a sampling device. The invention comprises three passive samplers and a fish farming device, wherein the fish farming device can ensure the survival environment of the fish in the long-term test, maintain the fish survival rate, and apply the device to the safety evaluation of water quality of the centralized drinking water source.

In-situ passive sampling device based on physical and chemical and bio-coupling monitoring and application

Growing community of inventors

Nanjing, China

Xiaofei Zhang