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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: First, an model was built, and the method of calculating the detection risk was proposed to quantifythe detection benefits in scheduling.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.Second, a maneuvering detection strategy is adopted to adaptively adjust the parameters in MVRPF, whichembedded 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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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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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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Moving target detection in the cepstrum domain for passive coherent location (PCL) radar

Ji-chuan LI,Xiao-de LU,Hui ZHANG,Peng-cheng YANG,Yu LIU,Mao-sheng XIANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 785-795 doi: 10.1631/FITEE.1500036

Abstract: A cepstrum moving target detection (CEPMTD) algorithm based on cepstrum techniques is proposed for passiveThe primary cepstrum techniques are of great success in recognizing the arrival times of static targetBased on the CEPMTD outlined above, an improved CEPMTD algorithm is proposed to improve the detectionTheoretical analyses show that only the target’s peak can be coherently added.The simulation results show that the detection performance of the improved CEPMTD algorithm is 13.3 dB

Keywords： Moving target detection     Cepstrum techniques     Cross ambiguity function (CAF)     Passive coherent location    

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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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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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An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

Engineering doi: 10.1016/j.eng.2023.05.013

Abstract: For applications in the Internet of Things (IoT), accurate detection of resonance frequency shifts usingultracompact integrated sensing system that merges a spoof surface plasmon resonance sensor with signal detectionscheme was developed to track the resonance shift, which minimized the hardware circuit and made the detectionadaptive to the target resonance.to a smartphone wirelessly through Bluetooth, working in both frequency scanning mode and resonance tracking

Keywords： Spoof surface plasmons     Internet of Things     Integrated sensing     Resonance tracking     Microwave sensing    

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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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Robust object tracking with RGBD-based sparse learning Article

Zi-ang MA, Zhi-yu XIANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 989-1001 doi: 10.1631/FITEE.1601338

Abstract: Robust object tracking has been an important and challenging research area in the field of computer visionWith the increasing popularity of affordable depth sensors, range data is widely used in visual trackingFinally, a depth-based occlusion detection method is proposed to efficiently determine an accurate timeKITTI and Princeton data sets demonstrate that the proposed tracker outperforms the state-of-the-art tracking

Keywords： Object tracking     Sparse learning     Depth view     Occlusion templates     Occlusion detection    

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Title Author Date Type Operation

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

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

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

Moving target detection in the cepstrum domain for passive coherent location (PCL) radar

Ji-chuan LI,Xiao-de LU,Hui ZHANG,Peng-cheng YANG,Yu LIU,Mao-sheng XIANG

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

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

An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

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

Robust object tracking with RGBD-based sparse learning

Zi-ang MA, Zhi-yu XIANG

Journal Article