Nonlinear Extended Kalman Filter for Attitude Estimation of the Fixed-Wing UAV by Tang Xiaoqian, Zhao Feicheng, Tang Zhengbing, Wang Hongying

“…The main problem in unmanned aerial vehicles (UAVs) and flying vehicles is the determination of attitude angles. …”
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Adaptive Fault-Tolerant Control of a Hybrid VTOL UAV against Actuator Faults and Model Uncertainties under Fixed-Wing Mode by Ao He, Yinong Zhang, Huimin Zhao, Ban Wang, Zhenghong Gao

“…This paper proposes an adaptive fault-tolerant control strategy for a hybrid vertical take-off and landing (VTOL) unmanned aerial vehicle (UAV) to simultaneously compensate actuator faults and model uncertainties. …”
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Grouping Formation and Obstacle Avoidance Control of UAV Swarm Based on Synchronous DMPC by Yunfeng He, Xianjun Shi, Jianhua Lu, Chaolun Zhao, Guorong Zhao

“…This paper focuses on the grouping formation control problem of unmanned aerial vehicle (UAV) swarms in obstacle environments. …”
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Resource allocation algorithm for secure communication in UAV-assisted D2D communication network by Xiaowan ZENG, Haijun WANG, Lei HUANG, Dongtang MA

“…To solve the problems of energy limitation, spectrum shortage, and serious co-frequency interference in the unmanned aerial vehicle (UAV)-assisted D2D (device-to-device) communication network under passive eavesdropping, the concept of the network secrecy energy efficiency was introduced by taking into account the secrecy rate and transmit power constraints of each user.Based on the physical layer secure transmission theory, the joint optimization problem of spectrum multiplexing and power control strategies was investigated to maximize the network secrecy energy efficiency.The problem was a nonlinear nonconvex problem, a resource allocation algorithm combining Dinkelbach’s algorithm and the convex approximation algorithm was proposed to transform the nonconvex optimization problem into a geometric planning problem through the convex approximation algorithm and ensure that the original problem converges to the global optimal solution by Dinkelbach’s algorithm.Simulation results show that the proposed algorithm can effectively mitigate the co-channel interference, improve the network secrecy energy efficiency, and balance the relationship between the secure communication performance and power consumption of the network.…”
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Performance analysis of mixed FSO-RF transmission in UAV relay communication systems by Su XU, Ji ZHANG, Yanghua DIAO, Yuanying LIU, Yi ZHANG

“…A mixed free space optical (FSO)-radio frequency (RF) transmission was studied in the multiuser unmanned aerial vehicle (UAV)-aided terrestrial network.Specifically, a novel beamforming (BF) scheme was proposed based on the available statistical channel state information (CSI), and the outage performance of the considered system was analyzed.In this mixed framework, the link between the base station and the UAV employs the FSO technology, while aerial-terrestrial links use RF technology.To achieve the space division multiple access (SDMA) in RF links.First of all, the available statistical CSI was proposed, and a novel beamforming (BF) scheme was proposed to suppress the inter-user interference so that all the users can be served simultaneously.Then, based on the assumption that the FSO and RF links follow the Gamma-Gamma fading and Nakgami-m fading respectively, an analytical expression was derived for the outage probability (OP) of the considered system.Furthermore, the asymptotical OP expression in high signal-to-noise ratio regime was presented to evaluate the achievable diversity order.Finally, numerical results were given to confirm the validity of our theoretical analysis and the superiority of the proposed scheme.…”
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Path-Tracking Control of Tilting Quadrotor UAV Based on Variable Structure Sliding Mode Control Method by Qinghua Liu, Ke Zhang, Yunfan Pan, Huan Zhang

“…Tilting quadcopter unmanned aerial vehicles have the ability to perform vertical takeoff and landing, hover in the air, and cruise at high speeds, They can complete various flight tasks. …”
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Performance optimization for UAV-enabled V2I communications system by Fang GUO, Yu-yan ZHANG, Long ZHAO, Kan ZHENG, Wen-bo WANG

“…In the emergency communication,UAVs (unmanned aerial vehicle) are used more and more widely,and a V2I (vehicle to infrastructure) vehicle communication technology based on UAV was proposed.Because of the communication distance and the shelter of the terrain,the ground vehicle and the base station may not connect directly.At this time,the UAV can be used as communication relay.In the process of communication,in order to meet the fairness of ground vehicle communication,a time interval less than the coherence time was selected based on the coordinates of moving ground vehicles,the transmission rate between vehicles in each time interval are calculated to maximize the minimum transmission rate as the optimization goal.In order to solve this problem,the entire communication process was dispersed.First,UAV flight trajectory to maximize the minimum transmission rate at each time interval within the range of the UAV flight path was calculated to get the whole communication process trajectory.Simulation results show that through the path planning of UAV,the information transmission rate of the vehicle is obviously better than the transmission rate under the fixed position of UAV.…”
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The "Low Slow and Small" UAV target detection and tracking algorithm based on improved YOLOv7 and DeepSort by JIAN Yuhong, YANG Huiyue, WANG Xinggang, RONG Yisheng, ZHU Yukun

“…To improve the accuracy of Low altitude unmanned aerial vehicle(UAV) target detection and tracking, an improved UAV detection algorithm based on YOLOv7 and DeepSort framework is proposed. …”
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A Two-Layer Task Assignment Algorithm for UAV Swarm Based on Feature Weight Clustering by Xiaowei Fu, Peng Feng, Bin Li, Xiaoguang Gao

“…For the large-scale operations of unmanned aerial vehicle (UAV) swarm and the large number of UAVs, this paper proposes a two-layer task and resource assignment algorithm based on feature weight clustering. …”
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Changements côtiers et inondations suite au passage d’un ouragan extrême (Irma, 2017) aux Petites Antilles by Tony Rey, Thomas Candela, Matthieu Péroche, Frédéric Leone

“…The method was based on the analysis of satellite images and Unmanned Aerial Vehicle surveys. It also relied on qualitative observations, geomorphological and sedimentary surveys and the measurement of wave run up and the mapping of flooded areas. …”
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Intent-based UAV swarm network: management architecture, key technologies, and future vision by LI Xuan, LI Haiyan, ZHANG Lu, ZHANG Yuhang, ZHANG Haojie

“…As an integral part to the air, space and ground integrated network, unmanned aerial vehicle (UAV) swarms have shown broad application prospects in complex tasks such as emergency search and rescue, offensive and defensive confrontation, intelligence reconnaissance and surveillance. …”
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The Hovering Stability of the Egretta Tail-Sitter VTOL UAV by Hao Wang, Shanfei Su, Xizhi Qiu, Yu Liang, Peng Yu, Xiaowen Shan

“…Vertical takeoff and landing (VTOL) capability has extended the application of unmanned aerial vehicle (UAV) significantly. In this paper, simulation modeling and flight test were employed to investigate the hovering stability of a tail-sitter UAV named Egretta. …”
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Propeller Force-Constant Modeling for Multirotor UAVs from Experimental Estimation of Inflow Velocity by Gaurang Gupta, Shaaban Abdallah

“…Design and simulation of an unmanned aerial vehicle (UAV) highly depends on the thrust produced by a motor-propeller combination. …”
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Computation offloading scheme for RIS-empowered UAV edge network by Bin LI, Wenshuai LIU, Wancheng XIE, Zesong FEI

“…In order to address the challenge of low offloading rate caused by the obstacles blocking in the links between unmanned aerial vehicle (UAV) and ground users (GU) in urban scene, a partial task offloading scheme for UAV-enabled mobile edge computing with the aid of reconfigurable intelligence surface was proposed.A nonconvex and multivariable coupling stochastic optimization problem was formulated by the joint design of the computation task allocation, the transmit power of GU, the phase shift of RIS, UAV computation resource, and UAV trajectory, aiming at maximizing the minimum average data throughput of GU.By leveraging the properties of mathematical expectation, the stochastic optimization problem was transformed into a deterministic optimization problem.Then, the deterministic optimization problem was decomposed into three subproblems by using the block coordinate descent (BCD) algorithm.By introducing auxiliary variables, the nonconvex problems were transformed into convex optimization problems via the successive convex approximation and semidefinite relaxation, and then the approximate suboptimal solution of the original problem was obtained.The simulation results show that the proposed algorithm has good convergence performance and effectively improves the average data throughput of GU.…”
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5G urban rail traffic scenario classification and channel modeling by Ruisi HE, Bo AI, Zhangdui ZHONG, Mi YANG, Chen HUANG, Zhangfeng MA, Guiqi Sun, Hang MI, Chengyi ZHOU, Ruifeng CHEN

“…Urban rail traffic is an important part of modern transportation infrastructure.As a new generation of mobile communication technology, 5G can provide high data rate and low latency wireless transmission, which helps to improve the efficiency and service quality of urban rail traffic system.Due to the complexity of urban rail traffic scenarios, accurate communication scenario classification, channel characterization and channel models are required to provide theoretical support for the design of urban rail traffic 5G communication systems.The classification of 5G urban rail traffic radio propagation scenarios to support channel measurements and modeling was proposed.Current status of urban rail traffic channel measurements and modeling was shown, and the current challenges were analyzed.The applications of artificial intelligence in channel feature extraction and channel modeling were discussed, and the 5G urban rail traffic channels by considering reconfigurable intelligent surface and unmanned aerial vehicle were analyzed.Finally, the research on 5G urban rail traffic channel modeling at millimeter wave frequency band was described.…”
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Radio resource and trajectory optimization for UAV assisted communication based on user route by Lei LANG, Jingning WANG, Yi WANG, Zitao ZHAO

“…Recently, research on the application of unmanned aerial vehicle (UAV) in wireless communication networks has been widely studied.Aiming at the downlink wireless transmission system of UAV assisted mobile user communication, a method of resource allocation and trajectory optimization based on user route was proposed.According to the known user route, the estimated large-scale channel state information was obtained in advance, and a joint optimization problem of communication bandwidth allocation and trajectory optimization was established to maximize the minimum average rate of users.The problem was a nonconvex optimization problem, and there was nonlinear coupling between the variables.By introducing the method of alternating optimization of auxiliary variables and separated variables, the original problem was decomposed into two approximate convex optimization subproblems which could be solved, and the successive convex approximation was used to iteratively optimize the two subproblems, and an approximate suboptimal solution of the original nonconvex problem was obtained.Simulation results show that the proposed method of resource allocation and trajectory optimization can effectively improve the average data throughput of users, and improve the efficiency of UAV assisted communication on the premise of ensuring the communication quality of all users.…”
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Robust Tracking Control of a Quadrotor UAV Based on Adaptive Sliding Mode Controller by Tianpeng Huang, Deqing Huang, Zhikai Wang, Awais Shah

“…In this paper, a robust adaptive sliding mode control scheme is developed for attitude and altitude tracking of a quadrotor unmanned aerial vehicle (UAV) system under the simultaneous effect of parametric uncertainties and consistent external disturbance. …”
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AoI-oriented low-energy-consumption information collection and transmission scheduling mechanism for emergency UAV networks by Yuming ZHANG, Lianming XU, Siyuan YIN, Linrun JIANG, Li WANG, Aiguo FEI

“…To address the information collection and aggregation issue in emergency scenarios characterized by the lack of public infrastructure and unstable satellite signals, an information timeliness-oriented information collection and transmission scheduling mechanism was proposed for emergency unmanned aerial vehicle (UAV) networks where information collection and transmission capabilities were constrained by energy consumption.Considering the age of information (AoI) as the metric and constraint of information timeliness, a stochastics optimization problem was constructed with the objective of minimizing UAV information collection and transmission energy consumption.By resorting to the Lyapunov optimization technique, virtual queues were established to impose information timeliness constraints on queue lengths, and the original problem was decoupled into two sub-problems, information collection and transmission scheduling, with the premise of ensuring system stability.Corresponding heuristic algorithms were proposed for each sub-problem.Simulation results demonstrate that the proposed algorithm outperforms conventional queue scheduling approaches in convergence rates and system energy consumption with guaranteed information timeliness.…”
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Effects of Model-Specific Parameters on the Development of Custom Module in PX4 Autopilot Software-in-the-Loop by Abera Tullu, Sunghun Jung, Sangchul Lee, Sangho Ko

“…Models of a fixed-wing unmanned aerial vehicle with vertical takeoff and landing capabilities and a steerable sensor platform/gimbal are used as a case study for this investigation. …”
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A Sliding Mode Approach to Vector Field Path Following for a Fixed-Wing UAV by Luca Pugi, Lorenzo Franchi, Samuele Favilli, Giuseppe Mattei

“…Unmanned aerial vehicle (UAV) technology has recently experienced increasing development, leading to the creation of a wide variety of autonomous solutions. …”
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