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Coherent integration 1

Data-driven 1

Gaussian process 1

Generalized labeled multi-Bernoulli filter 1

Intranet defense 1

Location rotation transform (LRT) 1

MMU 1

Maneuver detection 1

Maneuvering target 1

Maneuvering target tracking 1

Model-driven 1

Multi-dimensional maneuvering 1

Multi-maneuvering-target tracking 1

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Multi-target hybrid systems 1

Non-uniform fast Fourier transform (NuFFT) 1

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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.

Keywords： real-time emendation     disturbance     maneuvering     MMU     correction    

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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 proposedSecond, 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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planning and tracking control of a four-wheel independently driven steered mobile robot with multiple maneuvering

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: Safe and effective autonomous navigation in dynamic environments is challenging for four-wheel independently driven steered mobile robots (FWIDSMRs) due to the flexible allocation of multiple maneuver modes. To address this problem, this study proposes a novel multiple mode-based navigation system, which can achieve efficient motion planning and accurate tracking control. To reduce the calculation burden and obtain a comprehensive optimized global path, a kinodynamic interior–exterior cell exploration planning method, which leverages the hybrid space of available modes with an incorporated exploration guiding algorithm, is designed. By utilizing the sampled subgoals and the constructed global path, local planning is then performed to avoid unexpected obstacles and potential collisions. With the desired profile curvature and preselected mode, a fuzzy adaptive receding horizon control is proposed such that the online updating of the predictive horizon is realized to enhance the trajectory-following precision. The tracking controller design is achieved using the quadratic programming (QP) technique, and the primal–dual neural network optimization technique is used to solve the QP problem. Experimental results on a real-time FWIDSMR validate that the proposed method shows superior features over some existing methods in terms of efficiency and accuracy.

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

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Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform Research Articles

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 8,   Pages 1251-1266 doi: 10.1631/FITEE.1900272

Abstract: Long-term can remarkably improve the ability of detection and motion of radar for s. However, the linear range migration, quadratic range migration (QRM), and Doppler frequency migration within the coherent processing interval seriously degrade the detection and estimation performance. Therefore, an efficient and noise-resistant method based on and is proposed. QRM is corrected by the second-order keystone transform. Using the relationship between the rotation angle and Doppler frequency, a novel phase compensation function is constructed. Motion parameters can be rapidly estimated by LRT and NuFFT. Compared with several representative algorithms, the proposed method achieves a nearly ideal detection performance with low computational cost. Finally, experiments based on measured radar data are conducted to verify the proposed algorithm.

Keywords： Coherent integration     Maneuvering target     Parameter estimation     Location rotation transform (LRT)     Non-uniform    

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Design and implementation of a novel enterprise network defense system bymaneuveringmulti-dimensional network properties None

Yang CHEN, Hong-chao HU, Guo-zhen CHENG

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 238-252 doi: 10.1631/FITEE.1800516

Abstract:

Although the perimeter security model works well enough when all internal hosts are credible, it is becoming increasingly difficult to enforce as companies adopt mobile and cloud technologies, i.e., the rise of bring your own device (BYOD). It is observed that advanced targeted cyber-attacks usually follow a cyber kill chain; for instance, advanced targeted attacks often rely on network scanning techniques to gather information about potential targets. In response to this attack method, we propose a novel approach, i.e., an “isolating and dynamic” cyber defense, which cuts these potential chains to reduce the cumulative availability of the gathered information. First, we build a zero-trust network environment through network isolation, and then multiple network properties are maneuvered so that the host characteristics and locations needed to identify vulnerabilities cannot be located. Second, we propose a software-defined proactive cyber defense solution (SPD) for enterprise networks and design a general framework to strategically maneuver the IP address, network port, domain name, and path, while limiting the performance impact on the benign network user. Third, we implement our SPD proof-of-concept system over a software-defined network controller (OpenDaylight). Finally, we build an experimental platform to verify the system’s ability to prevent scanning, eavesdropping, and denial-of-service attacks. The results suggest that our system can significantly reduce the availability of network reconnaissance scan information, block network eavesdropping, and sharply increase the cost of cyber-attacks.

Keywords： Intranet defense     Software-defined network     Multi-dimensional maneuvering    

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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, leveraging

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

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Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target hybrid systems 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. This system consists of a continuous state, a discrete and switchable state, and a discrete, time-constant, and unique state. By defining a new generalized labeled multi-Bernoulli density, we prove that it is closed under the Chapman-Kolmogorov prediction and Bayes update for . In other words, we provide the exact derivation of a solution to this system, i.e., the , which has been developed without strict proof.

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

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Title Author Date Type Operation

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

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

planning and tracking control of a four-wheel independently driven steered mobile robot with multiple maneuvering

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

Journal Article

Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform

Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao,jinke_xd@outlook.com

Journal Article

Design and implementation of a novel enterprise network defense system bymaneuveringmulti-dimensional network properties

Yang CHEN, Hong-chao HU, Guo-zhen CHENG

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

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

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

Journal Article