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Achieving Efficient and Privacy-Preserving Worker Selection with Arbitrary Spatial Ranges for Vehicular Crowdsensing IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-30 Yantao Yu, Xiaoping Xue, Jingxiao Ma, Songnian Zhang, Yunguo Guan, Rongxing Lu
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On Impact of HPA Nonlinearity in NOMA Enabled Heterogeneous Cellular Network IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-30 Amit Baghel, Abhinav Singh Parihar, Kwonhue Choi, Vimal Bhatia
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On the Voltage Stability and Network Scalability of Onboard DC Microgrids for Hybrid Electric Aircraft IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-30 Andrei-Constantin Braitor, Houria Siguerdidjane, Alessio Iovine
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Robust DOA Estimation with Distorted Sensors IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-30 Xiang-Yu Wang, Xiao Peng Li, Huiping Huang, Hing Cheung So
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A Novel Training Design Algorithm for Kronecker-Inseparable MIMO Systems With General Power Constraints IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Jae-Mo Kang
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You Only Look at Once for Real-Time and Generic Multi-Task IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Jiayuan Wang, Q. M. Jonathan Wu, Ning Zhang
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Vehicle Heterogeneous Multi-Source Information Fusion Positioning Method IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Chengkai Tang, Chen Wang, Lingling Zhang, Yi Zhang, Houbing Song
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STAR-RIS-Assisted Communication Radar Coexistence: Analysis and Optimization IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Anastasios Papazafeiropoulos, Pandelis Kourtessis, Symeon Chatzinotas
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A Blockchain-Enabled Vehicular Edge Computing Framework for Secure Performance-oriented V2X Service Delivery IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Mohammad Fardad, Gabriel-Miro Muntean, Irina Tal
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Adaptive Spatio-Temporal Relation based Transformer for Traffic Flow Prediction IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Ruidong Wang, Liang Xi, Jinlin Ye, Fengbin Zhang, Xu Yu, Lingwei Xu
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Puncturing-Based Resource Allocation for URLLC and eMBB Services via Matching Theory and Unsupervised Deep Learning IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Bing Shi, Changyang She, Fu-Chun Zheng, Lin Gao, Ge Li
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Prescribed-Time Maneuvering Target Closing for Multiple Fixed-wing UAVs IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Jiayi Zheng, Shulong Zhao, Xiangke Wang, Jingchuan Tang, Zongyu Zuo
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Intelligent Omni-Surfaces Aided Cell-free Networks: Cooperative Beamforming with Coupled Phase-Shift IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Hongtao Zhang, Yuting Zhu, Zhiyu Xu
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Age of Information Minimization using Multi-agent UAVs based on AI-Enhanced Mean Field Resource Allocation IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Yousef Emami, Hao Gao, Kai Li, Luis Almeida, Eduardo Tovar, Zhu Han
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Intelligent Transportation Vehicle Road Collaboration and Task Scheduling Based on Deep Learning in Augmented Internet of Things IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-29 Chen Xu, Gang Wang, Mingzhu Wei, Ping Zhang, Bei Peng
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Event-trigger-based adaptive barrier function higher-order global sliding mode control technique for quadrotor UAVs IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-29 Bowen Liu, Yingxun Wang, Mohammadreza Askari Sepestanaki, Mohsen Pouzesh, Saleh Mobayen, Seyed Hossein Rouhani, Afef Fekih
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Bayesian Direction of Arrival Estimation using Atomic Norm Minimization with Prior Knowledge IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-29 Tianyi Jia, Hongwei Liu, Chang Gao, Junkun Yan
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A Fast False Large-Scene Images Generation Method Against SAR Based on Two-Dimension CZT and Multi-transmitter Cooperation IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-29 Penghui Ji, Shiqi Xing, Dahai Dai, Bo Pang, Dejun Feng
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Inverse Cubature and Quadrature Kalman Filters IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-29 Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
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Full-Envelope Flight Control for Compound Vertical Takeoff and Landing Aircraft J. Guid. Control Dyn. (IF 2.6) Pub Date : 2024-04-25 Jean-Marie KAI
This paper presents a flight control design for compound vertical takeoff and landing (VTOL) vehicles. With their multitude of degrees of controllability as well as the significant variations in their flight characteristics, VTOL vehicles present challenges when it comes to designing their flight control system, especially for the transition phase where the vehicle transitions between near-hovering
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Intelligence-Based Multistage Optimization Framework for Multiple Debris Removal Mission J. Guid. Control Dyn. (IF 2.6) Pub Date : 2024-04-25 Yue-He Zhu, Yu Zhang, Ya-Zhong Luo, Jia-Cheng Zhang
Journal of Guidance, Control, and Dynamics, Ahead of Print.
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Landing Site Mapping and Selection with Quadtree Map Using Planar Elements J. Guid. Control Dyn. (IF 2.6) Pub Date : 2024-04-25 Corey L. Marcus, Renato Zanetti, Timothy P. Setterfield
Journal of Guidance, Control, and Dynamics, Ahead of Print.
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Soft-Error Characterization and Mitigation Strategies for Edge Tensor Processing Units in Space IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-26 Tyler Garrett, Seth Roffe, Alan George
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IEEE Aerospace and Electronic Systems Society Information IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-26
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Erratum to “Bayesian Linear Regression With Cauchy Prior and Its Application in Sparse MIMO Radar” IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-26 Jun Li, Ryan Wu, I-Tai Lu, Dongyin Ren
Presents corrections to the paper, Bayesian Linear Regression With Cauchy Prior and Its Application in Sparse MIMO Radar.
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α-μ, κ-μ, and η-μ Mixed Products: Exact and Simple-Approximate Solutions, and Practical and RIS Applications IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-25 Carlos Rafael Nogueira da Silva, Nidhi Simmons, Maria Cecilia Luna Alvarado, Paschalis C. Sofotasios, Simon L. Cotton, Michel Daoud Yacoub
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Spectrum Sensing based on the Difference between the Maximum Eigenvalue and the Geometric Mean of the Eigenvalue IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-25 Kailin Wang, Guoyu Ma, Yiyan Ma, Botao Feng, Bo Ai
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CrowdSourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-25 Yuru Zhang, Qiang Liu, Haoxin Wang, Dawei Chen, Kyungtae Han
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Channel-aware QUIC control for enhanced CAM communications in C-V2X deployments over aerial base stations IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-25 George Amponis, Thomas Lagkas, Vasileios Argyriou, Panagiotis Radoglou-Grammatikis, Konstantinos Kyranou, Ioannis Makris, Panagiotis Sarigiannidis
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Joint Active and Passive Beamforming in RIS-Assisted Covert Symbiotic Radio Based on Deep Unfolding IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-25 Xiuli He, Hongbo Xu, Ji Wang, Wenwu Xie, Xingwang Li, Arumugam Nallanathan
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Efficient AoI-Aware Resource Management in VLC-V2X Networks via Multi-Agent RL Mechanism IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-25 Mohamad Azizi, Farshad Zeinali, Mohammad Robat Mili, Saeed Shokrollahi
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Offloading of Tasks with Tight Delay Requirements via Combined Half and Full Duplex UAV Relays IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-25 Pavel Mach, Zdenek Becvar, Mohammadsaleh Nikooroo
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Full-Dimensional Partial-Search Generalized Radon-Fourier Transform for High-Speed Maneuvering Target Detection IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-25 Wenqi Jiang, Hongwei Liu, Bo Jiu, Yu Zhao, Kang Li, Yu Zhang
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Bilateral Control for Secure Communication against Replay Attack in ORAN-based Vehicular Networks IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-24 Zongfeng Peng, Changgen Peng, Youliang Tian, Hongfa Ding
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Localization in Reconfigurable Intelligent Surface Aided mmWave Systems: A Multiple Measurement Vector Based Channel Estimation Method IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-24 Kunlun Li, Jiguang He, Mohammed El-Hajjar, Lie-Liang Yang
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Multi-agent Reinforcement Learning-based Joint Precoding and Phase Shift Optimization for RIS-aided Cell-Free Massive MIMO Systems IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-24 Yiyang Zhu, Enyu Shi, Ziheng Liu, Jiayi Zhang, Bo Ai
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Improved-MUSIC Algorithm Based on Compressive Subspace Learning for Multiantenna Cognitive Radio IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-24 Liqi Yang, Ronghua Qin, Hongying Tang, Hui Ma
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Tire Road Friction Coefficient Estimation for Individual Wheel based on two Robust PMI Observers and a Multilayer Perceptron IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-24 Siyou Tao, Zhiyang Ju, Liang Li, Hui Zhang, Witold Pedrycz
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Joint Power Allocation and User Fairness Optimization for Reinforcement Learning Over mmWave-NOMA Heterogeneous Networks IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-24 Sima Sobhi-Givi, Mahdi Nouri, Mahrokh G. Shayesteh, Hashem Kalbkhani, Zhiguo Ding
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Investigations of Channel Capacity Loss in LEO Satellite Systems Using Phased Array Beamforming Antennas IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-24 Robert Wünsche, Marco Krondorf, Andreas Knopp
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Urban Air Mobility Guidance with Panel Method: Experimental Evaluation Under Wind Disturbances J. Guid. Control Dyn. (IF 2.6) Pub Date : 2024-04-22 Zeynep Bilgin, Ilkay Yavrucuk, Murat Bronz
Journal of Guidance, Control, and Dynamics, Ahead of Print.
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Full-field displacement measurement of long-span bridges using one camera and robust self-adaptive complex pyramid Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Yuchao Wang, Weihua Hu, Jun Teng, Yong Xia
Full-field motion with a high spatial resolution can reflect the health state of long-span bridges. Traditional structural health monitoring (SHM) systems measure the structural displacement at sparse points only. Despite the development of various methods for obtaining high-resolution responses, they fail to estimate the multi-scale motions of real long-span bridges. A novel full-field motion estimation
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The assignment of zero sound pressure frequencies using measured sound pressure receptances and structural receptances Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Yingsha Shi, Sheng Li
In structural receptances, the zeros (antiresonances) define those frequencies at which vibrations disappear. In this paper, the zero sound pressure frequency is defined as the frequency at which the sound pressure is zero at certain locations. A method for the assignment of zero sound pressure frequencies using measured sound pressure receptances and structural receptances is proposed through two
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Physics-based prognostics of rolling-element bearings: The equivalent damaged volume algorithm Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Alberto Gabrielli, Mattia Battarra, Emiliano Mucchi, Giorgio Dalpiaz
This paper introduces a novel parameter related to bearing degradation, namely the Equivalent Damaged Volume (EDV). An algorithm capable of extracting EDV values from experimental data is detailed. To this end, the proposed technique relies on the comparison between experimental and numerical signals. The former are the result of an extensive campaign of run-to-failure tests performed on a dedicated
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rLSTM-AE for dimension reduction and its application to active learning-based dynamic reliability analysis Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Yu Zhang, You Dong, Michael Beer
A novel method termed rLSTM-AE is developed for the low-dimensional latent space identification of the stochastic dynamic systems with more than 1000 input random variables and the active learning-based dynamic reliability analysis. First, the long short-term memory network considers both the time-variant stochastic excitation and the time-invariant random variables is developed (rLSTM), which adopts
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Tracking superharmonic resonances for nonlinear vibration of conservative and hysteretic single degree of freedom systems Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Justin H. Porter, Matthew R.W. Brake
Many modern engineering structures exhibit nonlinear vibration. Characterizing such vibrations efficiently is critical to optimizing designs for reliability and performance. For linear systems, steady-state vibration occurs only at the forcing frequencies. However, nonlinearities (e.g., contact, friction, large deformation, etc.) can result in nonlinear vibration behavior including superharmonics —
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Estimating structural motions in extreme environmental conditions——A dynamic correlation filter based computer vision approach Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-23 Enjian Cai, Yi Zhang, Xinzheng Lu, Xiaodong Ji, Xiang Gao, Jiale Hou, Ji Shi, Wei Guo
Vision-based methods have shown great potential in vibration-based structural health monitoring (SHM). However, these methods are not standard practices yet, since their accuracy and robustness may be influenced by extreme environmental conditions. To this end, this paper proposed a method, named dynamic regularized total variation correlation filter (DTVCF). In DTVCF, an effective optimization problem
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2-D DOA Estimation Based on Sparse Linear Arrays Exploiting Arbitrary Linear Motion IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-23 Zexiang Zhang, Qing Shen, Wei Liu, Wei Cui
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DeepEigen-Tabu: Deep Eigen Network Assisted Probabilistic Tabu Search for Massive MIMO Detection IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-23 Hoang-Yang Lu, S. Pourmohammad Azizi, Shyi-Chyi Cheng
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Iterative Partial Construction of Hybrid Beamforming under Analog Quantized Phase Constraints in Ultra-Dense Networks IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-23 David Alejandro Urquiza Villalonga, M. Julia Fernández-Getino García
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A Probabilistic Repetition Coding-Based Access Method for Sporadic Traffic IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-23 Jingfang Ding, Meng Zheng, Yitian Wang, Nan Zhao, Haibin Yu
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MS-ZeroWall: Detecting Zero-Day Multi-Step Attack in Smart Home using VAE and HMM IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-23 Taotao Li, Zhen Hong, Wanglei Feng, Li Yu, Zhenyu Wen
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Dynamic-matching adaptive sliding mode control for hypersonic vehicles Aerosp. Sci. Technol. (IF 5.6) Pub Date : 2024-04-23 Chaoran Qu, Lin Cheng, Shengping Gong, Xu Huang
Hypersonic vehicles exhibit significantly varied dynamic characteristics across different flight regimes. These characteristics, such as model uncertainties and actuator saturation levels, have strong time-varying properties, necessitating a control strategy capable of adaptively matching robustness and responsiveness to such variability. This paper introduces an adaptive sliding mode control strategy
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A tensor basis neural network-based turbulence model for transonic axial compressor flows Aerosp. Sci. Technol. (IF 5.6) Pub Date : 2024-04-23 Ziqi Ji, Gang Du
Traditional turbulence models encounter limitations when simulating intricate flows within transonic axial compressors. In contrast, recent advancements in machine learning turbulence models have demonstrated enhanced potential in refining the precision of turbulence modeling. Notably, the tensor basis neural network (TBNN) methodology has successfully developed non-linear eddy viscosity turbulence
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Optimal Time-Frequency Distribution for Instantaneous Frequency Estimation of Signals with Known IF Patterns IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-23 Zahra Seddighi, Mohammad Reza Taban, Saeed Gazor
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Adaptive IMM Smoothing Algorithms for Jumping Markov System With Mismatched Measurement Noise Covariance Matrix IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-23 Hong Xu, Qin Pan, Heng Xu, Yinghui Quan
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Orchestrating Heterogeneous NTNs: from Stochastic Geometry to Resource Allocation IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-23 Matthew A. Bliss, Frederick J. Block, Thomas C. Royster, Christopher G. Brinton, David J. Love
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Experimental nonlinear model of a set of connecting elements in view of nonlinear modal coupling Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-22 Jacopo Brunetti, Walter D’Ambrogio, Annalisa Fregolent, Francesco Latini
The development process of mechanical systems involves the evaluation of its modes of vibrations in the frequency range of interest. In general, a linear modal analysis is sufficient to determine whether the system can operate in dynamic conditions. However, in some cases the assembly is composed of many subsystems connected through nonlinear connections which make the response depend on the amplitude
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Artificial Noise Elimination Without the Transmitter-Receiver Link CSI IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-22 Hong Niu, Xia Lei, Gang Wu, Gang Wang, Chau Yuen, Fumiyuki Adachi