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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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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
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Efficient Robust Control of Mixed Platoon for Improving Fuel Economy and Ride Comfort IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-22 Peiyu Zhang, Daxin Tian, Jianshan Zhou, Xuting Duan, Zhengguo Sheng, Dezong Zhao, Dongpu Cao
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Attribute-Consistency Reversible Pedestrian De-Identification in Intelligent Transportation IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-22 Guiliang Feng, Ting Yan, Jingjing Yang
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IRS-Aided Location Sensing and Beamforming in ISAC Systems: Distributed or Not? IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-22 Shuyang Lyu, Xiaoling Hu, Chenxi Liu, Mugen Peng
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An Improved Robust Filter Method for SINS/DVL System with Earth Frame Error Model IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-22 Di Wang, Bing Wang, Haoqian Huang, Yiqing Yao
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Near-Field Beam Training With Hierarchical Codebook: Two-Stage Learning-Based Approach IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-22 Caihao Weng, Xufeng Guo, Ying Wang
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Accelerating Neural BP-Based Decoder Using Coded Distributed Computing IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-22 Xuesong Han, Rui Liu, Yong Li, Chen Yi, Jiguang He, Ming Wang
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Optimal Design and Tracking Control of Low-Thrust Orbit Transfers Between Planar and Vertical Lyapunov Orbits IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-22 Chongrui Du, Jiye Zhang, Liangjun Song, Xiaokui Yue
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Waveform-Domain Bernoulli-Matched Filtering for Suppressing Smart Noise Jamming Based on Interrupted-Sampling Repeater Techniques IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-22 Hanning Su, Qinglong Bao, Fucheng Guo, Weidong Hu
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Syntactic modeling and neural based parsing for multifunction radar signal interpretation IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-22 Han CongFeng, Kai LIJiang, Zhixin Zhou, YuXin Zhao, HaiXing Yan, KaiLun Tian, Bin Tang
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Near-Field Target Localization for EMVS-MIMO Radar With Arbitrary Configuration IEEE Trans. Aerosp. Electron. Sys. (IF 4.4) Pub Date : 2024-04-22 Hua Chen, Jiaxiong Fang, Weilong Wang, Wei Liu, Ye Tian, Qing Wang, Gang Wang
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On minimum power flight formations of lifting propellers Aerosp. Sci. Technol. (IF 5.6) Pub Date : 2024-04-21 Dima Usov, Timotheos Chronis, Iuliu-Cezar Ardelean, Antonio Filippone
The present study delves into the problem of minimum-power formation of independent, non-articulated, lifting propellers in edgewise flight. Formation flight of free-flying fixed wings has been well addressed, demonstrating the importance of mutually induced upwash. However, there is a need to understand how this mechanism relates to the optimal flight formation of an arbitrary number of free-flying
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Reliable arrival time picking of acoustic emission using ensemble machine learning models Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-19 Xiao Wang, Qingrui Yue, Xiaogang Liu
This study presents an innovative method for accurately picking the first-wave arrival time in acoustic emission (AE) localization, particularly effective in environments with low or variable signal-to-noise ratios (SNR). Utilizing an ensemble learning model, it synergizes multiple automatic arrival time estimation algorithms to enhance both consistency and robustness. The model, rooted in decision
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Multiscale fluid–structure coupled real-time hybrid simulation of monopile wind turbines with vibration control devices Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-19 Hao Ding, Zili Zhang, Jinting Wang, Jian Zhang, Okyay Altay
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An Accurate Beam-Tracking Algorithm with Adaptive Beam Reconstruction via UAV-BSs for Mobile Users IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-19 Jing Zhang, Sheng Gao, Xin Feng, Hongwei Yang, Geng Sun
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Adaptive Optimal Control for Vehicle Platoons with Uncertain Communication Topology IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-19 Shixi Wen, Ge Guo, Yuan Zhao, Zhenyu Gao
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Parallel Multiband Spectrum Sensing in LTE-based Cognitive Radios IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-19 Zahra Mohammadi, Amir Zaimbashi
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Soft-Output Deep LAS Detection for Coded MIMO Systems: A Learning-Aided LLR Approximation IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-19 Arif Ullah, Wooyeol Choi, Teklu Merhawit Berhane, Yusuf Sambo, Muhammad Ali Imran
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Digital Semantic Device-edge Co-inference with Task-oriented ARQ IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-19 Xian Li, Suzhi Bi, Shuoyao Wang, Xiangcheng Li, Ying-Jun Angela Zhang
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Cooperative Control of Maglev Levitation System via Hamiton-Jacobian-Bellman Multi-Agent Deep Reinforcement Learning IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-19 Qi Zhu, Su-Mei Wang, Yi-Qing Ni
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Privacy-preserving for Blockchain-enabled Cold-chain Logistics System with IoV and Linkable Ring Signature IEEE Trans. Veh. Technol. (IF 6.8) Pub Date : 2024-04-19 Yang Zhang, Yu Tang, Chaoyang Li, Mianxiong Dong, Min Huang, Hua Zhang, Kaoru Ota
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Boosted Incremental Nonlinear Dynamic Inversion for Flexible Airplane Gust Load Alleviation J. Guid. Control Dyn. (IF 2.6) Pub Date : 2024-04-17 Yannic Beyer, Meiko Steen, Peter Hecker
Journal of Guidance, Control, and Dynamics, Ahead of Print.
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Semi-Analytical Assessment of Multiple Gravity-Assist Opportunities Based on Feasibility Domains J. Guid. Control Dyn. (IF 2.6) Pub Date : 2024-04-17 Zhiyuan Cao, Xiangyu Li, Yi Qi
Journal of Guidance, Control, and Dynamics, Ahead of Print.
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Discontinuous Galerkin methods for hypersonic flows Prog. Aerosp. Sci. (IF 9.6) Pub Date : 2024-04-18 Dominique S. Hoskin, R. Loek Van Heyningen, Ngoc Cuong Nguyen, Jordi Vila-Pérez, Wesley L. Harris, Jaime Peraire
In recent years, high-order discontinuous Galerkin (DG) methods have emerged as an attractive approach for numerical simulations of compressible flows. This paper presents an overview of the recent development of DG methods for compressible flows with particular focus on hypersonic flows. First, we survey state-of-the-art DG methods for computational fluid dynamics. Next, we discuss both matrix-based