Abstract: A large-scale dataset of drone radio frequency signals, namely DroneRFa, is constructed to research and develop anti-drone detection and recognition technologies. This dataset uses a software-defined radio device to monitor communication signals betw...
Abstract: UAV (Unmanned Aerial Vehicle) swarm, with its application advantages and development prospects, has become one of the current hot spots of interest for researchers in the field of artificial intelligence. The UAV swarm confrontation technology under ...
Abstract: Orbital Angular Momentum (OAM) technology provides a new degree of freedom to tackle the problems of the increasingly strained frequency resources, due to its theoretical orthogonal modes and non-interference with each other, which shows a good advan...
Abstract: In order to integrate signals of the Visible Light Positioning (VLP) and Visible Light Communication (VLC), a Frequency Division Multiplexing (FDM) based signal structure and a robust power allocation scheme for the multi-LED integrated Visible Light...
Abstract: Due to the very strict requirements of the system for linear components, the current Orthogonal Frequency Division Multiplexing(OFDM) system has the problem of high Peak to Average Power Ratio (PAPR), which causes signal distortion of OFDM and OFDM-b...
Abstract: To resolve the channel uncertainties, wireless information leakage and low communication quality caused by obstacles, a robust secure resource allocation algorithm for a Reconfigurable Intelligent Surface (RIS) aided Multiple Input Single Output (MIS...
Abstract: Considering the low classification accuracy of spreading and conventional modulated signals under low signal-to-noise ratio conditions, a multimodal attention mechanism signal modulation recognition method based on Generative Adversarial Network (GAN...
Abstract: Due to the limited transmitting power of sensors in the Wireless Sensor Network (WSN) and high probability of large distance between sensors and their associated Base Station(BS), the sensor data may not be received in time. This will reduce the data...
Abstract: Wireless spectrum status sensing is one of the prerequisites for achieving efficient utilization of spectrum resources and harmonious coexistence among systems. A spectrum sensing scheme based on interpolation and Few-Shot Learning(FSL) classificatio...
Abstract: For the effects of spatial-wideband effects during millimeter wave positioning, a novel 3-Dimensional (3D) positioning estimation method based on Reconfigurable Intelligent Surface (RIS) and Single Input Single Output (SISO) millimeter wave system is...
Abstract: Media Access Control (MAC) plays a pivotal role in ensuring proper operation of Wireless Body Area Networks (WBAN). However, current solutions still cannot satisfy high performance requirements of low latency and energy consumption for emergency data...
Abstract: For a Reconfigurable Intelligent Surface (RIS)-assisted Multiple Input Multiple Output (MIMO) Non-Orthogonal Multiple Access (NOMA) downlink system, the transmit covariances matrix at the base station and the phase-shifting matrix at the RIS are join...
Abstract: Benefited from the characteristics of high mobility, low cost and convenient deployment, by deploying communication and sensing equipment and supporting efficient resource sharing of communication and sensing technologies, Unmanned Aerial Vehicles (U...
Abstract: To investigate transmission characteristics of in-vivo Mmultiple Input Multiple Output (MIMO) communication systems at TeraHertz (THz) frequency, a precise skin-fat model is constructed at 0.8~1.2 THz. Full wave electromagnetic simulations are conduc...
Abstract: The paper proposes a hopping signal sorting method based on radio polarization features to address the problem of poor classification and recognition performance of hopping network stations under the condition of similar characteristics in the “space...
Abstract: To address the low efficiency of task collaboration computation caused by limited resources of Industrial Internet of Things (IIoT) devices and dynamic changes of edge server resources, a Digital Twin (DT)-assisted task offloading algorithm is propos...
Abstract: In the train control system of urban rail transit, Train-to-Train (T2T) communication, a new train communication mode, use direct communication between trains to reduce communication delay and improve train operation efficiency. In the scenario of th...
Abstract: The Intelligent-Reflecting-Surface (IRS) / Reconfigurable-Intelligent-Surface (RIS) is challenged by the placement and direction of its adhering panel when it is used to assist an actual wireless communication system to improve performance. As a math...
Abstract: In Mobile Edge Computing (MEC) intensive deployment scenarios, the uncertainty of edge server load can easily cause edge server overload, leading to a significant increase in delay and energy consumption during the computation offloading process. In ...
Abstract: As an important component of smart city construction, intelligent vehicle networking system has received increasing attention from academia and industry in recent years. In the intelligent vehicle networking system, the vehicle communication module t...
Abstract: In intelligent driving based on federated learning, the resource constraints of Intelligent Connected Vehicle (ICV) and possible device failures will lead to the decrease of the precision of federated learning training and the increase of delay and e...
Abstract: Focusing on the problem of large channel estimation transmission overhead in Intelligent Reflective Surface IRS) assisted multi-user communication system in high Doppler scenario, an IRS-OTFS communication system is constructed based on the character...
Abstract: A delay-optimized Service Function Chain (SFC) deployment approach is proposed by combining deep reinforcement learning with the delay-based Dijkstra pathfinding algorithm for the problem of resource-constrained edge networks and low end-to-end delay...
Abstract: An elevation-dependent stochastic localization algorithm is proposed to address the problem of different satellites contributing differently to the localization error in Global Navigation Satellite System (GNSS)-based passive radar. Herein, the Crame...
Abstract: Radio Frequency Interference (RFI) will pollute the echo signal of Synthetic Aperture Radar (SAR) and increase the difficulty of SAR image interpretation. Pulsed Direct Wave Interference (PDWI), as a typical RFI, covers SAR echo information with brig...
Abstract: To solve the problems of pixel points overlap and low processing efficiency in existing end-to-end radar signal deinterleaving methods based on image segmentation, an end-to-end sorting method using a point cloud segmentation network is proposed in t...
Abstract: In order to solve the problem that the estimation accuracy of traditional methods for estimating the shape parameters of radar K-distributed sea clutter is seriously degraded when there are outliers, a method for estimating the shape parameters of ra...
Abstract: To reduce the mapping basepoint offset and Gaussian truncation errors caused by spatiotemporal inconsistency in angle-only maneuvering target tracking systems, mapping representation and
Abstract: It is difficult to retrieve the ocean wind direction using the specular reflection signal owing to its insensitivity to the sea surface wind direction. The sensitivity of the scattered Global Navigation Satellite System-Reflectometry (GNSS-R) signal ...
Abstract: The image-based water flow measurement technology based on the Direct Linear Transformation (DLT) method relies on ground control points, and has problems such as low efficiency, high risk, and difficult operation in natural rivers with wide sections...
Abstract: At present, view-based 3D model classification has the problems of insufficient visual information for single view and redundant information for multiple views, and treating all views equally will ignore the differences between different projection a...
Abstract: HyperSpectral Image (HSI) classification methods based on limited labeled samples have made significant progress in recent years. However, due to the specificity of hyperspectral images, redundant information and limited labeled samples pose great ch...
Abstract: In long-term visual tracking, most of the target loss discriminative methods require artificially determined thresholds, and the selection of optimal thresholds is usually difficult, resulting in weak generalization ability of long-term tracking algo...
Abstract: Transcranial Magnetic Stimulation (TMS) has been widely used in clinical neuroregulation fields such as improving brain cognitive function because of its ability to non-invasibly detect and modulate the excitability and function of the cerebral corte...
Abstract: Due to the foreground occlusion of the reference texture and the difference in angle-of-views, many holes can be found in the synthesized images produced by depth image-based virtual view rendering. Prior disocclusion methods are time-consuming and n...
Abstract: In order to improve the success rate and reconstruction accuracy of the compressed sensing reconstruction algorithm, the Look Ahead and Regular Backtracking Orthogonal Matching Pursuit based on Dice coefficient (DLARBOMP) is proposed. In this algorit...
Abstract: With the development of Deep Learning, the number of parameters and computation of Convolutional Neural Network (CNN) increases dramatically, which greatly raises the cost of deploying CNN algorithms on edge devices. To reduce the difficulty of the d...
Abstract: A three-dimensional electric field sensing chip equipped with a single shielding electrode and piezoelectric actuation is proposed. This design achieves high-sensitivity detection of the three-dimensional electric fields, simultaneously reducing exci...
Abstract: Considering the widespread application of magnetic sensors in the Internet of Things (IoT), a Hall sensor readout interface circuit with low offset voltage and low-temperature drift characteristics based on a 180 nm CMOS process is designed in this w...