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Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target Research Articles

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000105

Abstract: In this study, we extend traditional (single-target) hybrid systems to with a focus on the system.By defining a new generalized labeled multi-Bernoulli density, we prove that it is closed under the Chapman-Kolmogorov

Keywords： Multi-maneuvering-target tracking     Multi-model     Generalized labeled multi-Bernoulli filter     Multi-target    

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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 smoothregions and abrupt maneuvering regions, a modified variable rate particle filter (MVRPF) is proposedCompared with conventional variable rate models, the proposed model does not need any prior knowledge of targetConsequently, it is more convenient in practical tracking applications.Second, a maneuvering detection strategy is adopted to adaptively adjust the parameters in MVRPF, which

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

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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: The performance of existing maneuvering methods for highly maneuvering targets in cluttered environmentsThis paper proposes a hybrid-driven approach for tracking multiple highly maneuvering targets, leveragingThis integration is further combined with a generalized algorithm to realize multi-.significant performance improvements in comparison with widely used algorithms such as the interactive multi-model

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

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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 filteringSimulation results show that the algorithm can accurately track multiple maneuvering targets in clutter

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

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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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Motion planning and tracking control of a four-wheel independently driven steered mobile robot with multiplemaneuvering modes

Xiaolong ZHANG, Yu HUANG, Shuting WANG, Gen LI, Yuanlong XIE, Wei MENG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 504-527 doi: 10.1007/s11465-020-0626-y

Abstract: novel multiple mode-based navigation system, which can achieve efficient motion planning and accurate trackingThe tracking controller design is achieved using the quadratic programming (QP) technique, and the primal–dual

Keywords： mobile robot     multiple maneuvering mode     motion planning     tracking control     receding horizon control    

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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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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: A multi-sensor-system cooperative scheduling method for multi-task collaboration is proposed in thismodel 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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Multi-target combinatory strategy to overcome tumor immune escape

Frontiers of Medicine 2022, Volume 16, Issue 2,   Pages 208-215 doi: 10.1007/s11684-022-0922-5

Abstract: The use of several antibody drugs that target PD1/PD-L1 for various cancer treatments has been approvedAlong with the characterization of more immune checkpoints, the combinatory treatment of multi-immune

Keywords： immune checkpoints     multi-target     immune escape     immune-related adverse events     combination therapy    

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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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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.For 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 sensingfactors such as collision avoidance, maneuvering constraints, tracking cost, sensing performance, and

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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Generalized labeled multi-Bernoulli filter with signal features of unknown emitters Research Article

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1871-1880 doi: 10.1631/FITEE.2200286

Abstract: is unknown, an improved algorithm is proposed to calculate the correlation coefficients between the targetSimulation results show that the proposed method can improve the tracking performance of multiple targets

Keywords： Multi-target tracking     Generalized labeled multi-Bernoulli     Signal features of emitter     Fuzzy C-means    

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Virtual reality system of manned maneuvering unit taking into consideration the disturbance from an astronaut

CHENG Jian, FAN Xiu-min, XU An, HONG Xin, HUANG Wei-dong

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 282-287 doi: 10.1007/s11465-006-0042-y

Abstract: This paper describes a manned maneuvering unit (MMU) virtual reality system.After measuring three initial-position information, the astronaut s arms tracking information is inputted

Keywords： real-time emendation     disturbance     maneuvering     MMU     correction    

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Title Author Date Type Operation

Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target

Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan,weihuawu1987@163.com

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

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

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

Xu Hongkui,Wang Dongjin,Chen Weidong

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

Motion planning and tracking control of a four-wheel independently driven steered mobile robot with multiplemaneuvering modes

Xiaolong ZHANG, Yu HUANG, Shuting WANG, Gen LI, Yuanlong XIE, Wei MENG

Journal Article

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

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

Yunpu ZHANG, Qiang FU, Ganlin SHAN

Journal Article

Multi-target combinatory strategy to overcome tumor immune escape

Journal Article

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

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

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

Generalized labeled multi-Bernoulli filter with signal features of unknown emitters

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Journal Article

Virtual reality system of manned maneuvering unit taking into consideration the disturbance from an astronaut

CHENG Jian, FAN Xiu-min, XU An, HONG Xin, HUANG Wei-dong

Journal Article