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Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Engineering doi: 10.1016/j.eng.2023.05.017

Abstract: visual servoing (IBVS) method based on a velocity observer for an unmanned aerial vehicle (UAV) for trackinga dynamic target in Global Positioning System (GPS)-denied environments.The depth model ensures image feature accuracy and image trajectory smoothness in rotating target trackingComparative simulations and multistage experiments are conducted to illustrate the tracking stability, anti-disturbance ability, and tracking robustness of the proposed method with a dynamic rotating target

Keywords： Unmanned aerial vehicle     Visual servoing     Velocity observer     Target tracking    

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Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.1900617

Abstract: We investigate cooperative target tracking of multiple unmanned aerial vehicles (UAVs) with a limitedThis is an integration of UAV motion control, target state estimation, and network topology control.By taking stable target tracking into account, a distributed potential function based UAV motion controllerSince only the estimation of the target state rather than the state itself is available for UAV motionmotion can also affect the accuracy of state estimation, it is clear that the UAV motion control and target
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A multi-sensor-system cooperative scheduling method for ground area detection and target tracking Research Article

Yunpu ZHANG, Qiang FU, Ganlin SHAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 245-258 doi: 10.1631/FITEE.2200121

Abstract: model was established, in which the posterior Carmér-Rao lower bound was applied to evaluate future trackingFinally, an objective function was developed which considers the requirements of detection, tracking,

Keywords： Sensor scheduling     Area detection     Target tracking     Road constraints     Doppler blind zone    

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Amodified variable rate particle filter for maneuvering target tracking

Yun-fei GUO,Kong-shuai FAN,Dong-liang PENG,Ji-an LUO,Han SHENTU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 985-994 doi: 10.1631/FITEE.1500149

Abstract: To address the problem of maneuvering target tracking, where the target trajectory has prolonged smoothCompared with conventional variable rate models, the proposed model does not need any prior knowledge of targetConsequently, it is more convenient in practical tracking applications.embedded in MVRPF, can move more particles into regions of high likelihood and hence can improve the tracking

Keywords： Maneuvering target tracking     Prolonged smooth regions     Variable rate model     Maneuver detection    

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Energy-efficient localization and target tracking via underwater mobile sensor networks None

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 8,   Pages 999-1012 doi: 10.1631/FITEE.1700598

Abstract: Target tracking, whose performance depends on sensor localization accuracy, is one of the broad applicationstracking.Furthermore, we present a simultaneous localization and target tracking (SLAT) algorithm to update sensorlocations based on measurements during the process of target tracking.tracking performance.

Keywords： Underwater mobile sensor networks     Energy-efficient     Sensor localization     Target tracking    

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Multi－target Tracking Algorithm for Multi－static Radar SystemBased on Parallel Processing Mechanism

Xu Hongkui,Wang Dongjin,Chen Weidong

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 151-156

Abstract:

To investigate the problem of tracking multiple short range high speedmaneuvering targets with multi- static radar system, a tracking algorithm based on parallel processingmeasurement association course was divided into some parallel sub-courses, moreover, an established target's tracking course is separated into two parallel3-D sub-courses which execute iterative filtering

Keywords： multi-static radar system     multi-target tracking     parallel processing     MSJPDA     parallel extendedkalman filtering    

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Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 449-457 doi: 10.1631/FITEE.1500262

Abstract: Noise statistics are essential for estimation performance. In practical situations, however, a priori information of noise statistics is often imperfect. Previous work on noise statistics identification in linear systems still requires initial prior knowledge of the noise. A novel approach is presented in this paper to solve this paradox. First, we apply the H∞ filter to obtain the system state estimates without the common assumptions about the noise in conventional adaptive filters. Then by applying state estimates obtained from the H∞ filter, better estimates of the noise mean and covariance can be achieved, which can improve the performance of estimation. The proposed approach makes the best use of the system knowledge without a priori information with modest computation cost, which makes it possible to be applied online. Finally, numerical examples are presented to show the efficiency of this approach.

Keywords： Noise estimate     H∞     filter     Target tracking    

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High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network Research Article

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1214-1230 doi: 10.1631/FITEE.2200260

Abstract: When we evaluate a tracking algorithm, its is the main criterion.To improve the , in this paper we formulate the tracking problem into a regression model from measurementsto target states.A tracking algorithm based on a modified (MDFNN) is then proposed.extended Kalman filter (EKF), unscented Kalman filter (UKF), and recurrent neural network (RNN) based tracking

Keywords： Deep feedforward neural network     Filter layer     Passive radar     Target tracking     Tracking accuracy    

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A collaborative target tracking algorithm for multiple UAVs with inferior tracking capabilities Research Articles

Zhi Zheng, Shuncheng Cai,zhengz@fjnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10,   Pages 1334-1350 doi: 10.1631/FITEE.2000362

Abstract: Target tracking is one of the hottest topics in the field of drone research.inferior tracking capabilities to track the targets that may have agile, uncertain, and intelligentFor three classic target motion modes, we first design a novel trajectory feature extraction method withmaximum coverage constraints, and propose an intention estimation mechanism based on the environment and targetstrategies of the UAVs are designed to effectively reduce the tracking gaps to improve the target sensing

Keywords： 协同跟踪；意图估计；MDA-Voronoi图；多无人机；性能不占优    

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array of two periodic leaky-wave antennas with sum and difference beam scanning for application in targetdetection and tracking Research Article

Mianfeng HUANG, Juhua LIU,liujh33@mail.sysu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 4,   Pages 567-581 doi: 10.1631/FITEE.2200473

Abstract: An array of two periodic leaky-wave s (LWAs) with scanning is proposed for application in . The array is composed of two periodic LWAs with different periods, in which each LWA generates a narrow beam through the =-1 space harmonic. Due to the two different periods for the two LWAs, two beams with two different directions can be realized, which can be combined into a sum beam when the array is fed in phase or into a difference beam when the array is fed 180° out of phase. The array integrated with 180° hybrid is designed, fabricated, and measured. Measurement results show that the sum beam can reach a gain up to 15.9 dBi and scan from -33.4° to 20.8°. In the scanning range, the direction of the null in the difference beam is consistent with the direction of the sum beam, with the lowest null depth of -40.8 dB. With the excellent performance, the provides an alternative solution with low complexity and low cost for .

Keywords： Antenna     Leaky-wave antenna (LWA)     Substrate-integrated waveguide (SIW)     Sum and difference beam     Targetdetection and tracking    

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Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking Research Article

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1647-1656 doi: 10.1631/FITEE.2300348

Abstract: This paper proposes a hybrid-driven approach for tracking multiple highly maneuvering targets, leveraging

Keywords： Target tracking     Gaussian process     Data-driven     Online learning     Model-driven     Probabilistic data association    

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Target tracking methods based on a signal-to-noise ratio model

Dai Liu, Yong-bo Zhao, Zi-qiao Yuan, Jie-tao Li, Guo-ji Chen,ybzhao@xidian.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12,   Pages 1671-1814 doi: 10.1631/FITEE.1900679

Abstract: Simulation results show that methods based on the SNR model can greatly improve the tracking performancecompared with traditional tracking methods.
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Mutual-information basedweighted fusion for target tracking in underwater wireless sensor networks None

Duo ZHANG, Mei-qin LIU, Sen-lin ZHANG, Zhen FAN, Qun-fei ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 544-556 doi: 10.1631/FITEE.1601695

Abstract: Underwater wireless sensor networks (UWSNs) can provide a promising solution to underwater target trackingtracking.As far as we know, almost all existing tracking schemes neglect this problem.We study a weighted fusion scheme for target tracking in UWSNs.present a local node selection scheme based on posterior Cramer-Rao lower bound (PCRLB) to improve tracking

Keywords： Target tacking     Fusion weight     Mutual information     Node selection     Underwater wireless sensor networks    

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Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0753-3

Abstract: To achieve the collision-free trajectory tracking of the four-wheeled mobile robot (FMR), existing methodsresolve the tracking control and obstacle avoidance separately.By introducing sub-target points, a new sub-target dynamic tracking regression obstacle avoidance strategyis presented to transfer the obstacle avoidance problem into a dynamic tracking one, thereby reducing

Keywords： obstacle-circumventing adaptive control     adaptive anti-disturbance terminal sliding mode control     sub-targetdynamic tracking regression obstacle avoidance    

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A quantitative attribute-based benchmark methodology for single-target visual tracking Article

Wen-jing KANG, Chang LIU, Gong-liang LIU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 405-421 doi: 10.1631/FITEE.1900245

Abstract: In the past several years, various visual object tracking benchmarks have been proposed, and some ofThen these methods have been applied to the raw results from one of the most famous tracking challenges, the Video Object Tracking (VOT) Challenge 2017.From the tests, most trackers did not perform well when the size of the target changed rapidly or intensely

Keywords： Visual tracking     Performance evaluation     Visual attributes     Computer vision    

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Title Author Date Type Operation

Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Journal Article

Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Journal Article

A multi-sensor-system cooperative scheduling method for ground area detection and target tracking

Yunpu ZHANG, Qiang FU, Ganlin SHAN

Journal Article

Amodified variable rate particle filter for maneuvering target tracking

Yun-fei GUO,Kong-shuai FAN,Dong-liang PENG,Ji-an LUO,Han SHENTU

Journal Article

Energy-efficient localization and target tracking via underwater mobile sensor networks

Hua-yan CHEN, Mei-qin LIU, Sen-lin ZHANG

Journal Article

Multi－target Tracking Algorithm for Multi－static Radar SystemBased on Parallel Processing Mechanism

Xu Hongkui,Wang Dongjin,Chen Weidong

Journal Article

Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Journal Article

High-accuracy target tracking for multistatic passive radar based on a deep feedforward neural network

Baoxiong XU, Jianxin YI, Feng CHENG, Ziping GONG, Xianrong WAN,jessiexu@whu.edu.cn,jxyi@whu.edu.cn,cwing@whu.edu.cn

Journal Article

A collaborative target tracking algorithm for multiple UAVs with inferior tracking capabilities

Zhi Zheng, Shuncheng Cai,zhengz@fjnu.edu.cn

Journal Article

array of two periodic leaky-wave antennas with sum and difference beam scanning for application in targetdetection and tracking

Mianfeng HUANG, Juhua LIU,liujh33@mail.sysu.edu.cn

Journal Article

Hybrid-driven Gaussian process online learning for highly maneuvering multi-target tracking

Qiang GUO, Long TENG, Tianxiang YIN, Yunfei GUO, Xinliang WU, Wenming SONG

Journal Article

Target tracking methods based on a signal-to-noise ratio model

Dai Liu, Yong-bo Zhao, Zi-qiao Yuan, Jie-tao Li, Guo-ji Chen,ybzhao@xidian.edu.cn

Journal Article

Mutual-information basedweighted fusion for target tracking in underwater wireless sensor networks

Duo ZHANG, Mei-qin LIU, Sen-lin ZHANG, Zhen FAN, Qun-fei ZHANG

Journal Article

Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

Journal Article

A quantitative attribute-based benchmark methodology for single-target visual tracking

Wen-jing KANG, Chang LIU, Gong-liang LIU

Journal Article