A fusion algorithm of target dynamic information for asynchronous multi-sensors

Zheng, Jiachun; Wang, Yang; Lin, Chen; Zhang, Xiaolong; Liu, Jing; Ji, Liang‐Wen

doi:10.1007/s00542-017-3603-6

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…12 Accuracy Kalman filters [113,115] 13. Decision support Several [58,68,76,89,92,93,105,108,128,130,161,254,255] 14.…”

Section: Neural Networkmentioning

confidence: 99%

Enhancing Maritime Cybersecurity through Operational Technology Sensor Data Fusion: A Comprehensive Survey and Analysis

Potamos,

Stavrou,

Stavrou

2024

Sensors

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Cybersecurity is becoming an increasingly important aspect in ensuring maritime data protection and operational continuity. Ships, ports, surveillance and navigation systems, industrial technology, cargo, and logistics systems all contribute to a complex maritime environment with a significant cyberattack surface. To that aim, a wide range of cyberattacks in the maritime domain are possible, with the potential to infect vulnerable information and communication systems, compromising safety and security. The use of navigation and surveillance systems, which are considered as part of the maritime OT sensors, can improve maritime cyber situational awareness. This survey critically investigates whether the fusion of OT data, which are used to provide maritime situational awareness, may also improve the ability to detect cyberincidents in real time or near-real time. It includes a thorough analysis of the relevant literature, emphasizing RF but also other sensors, and data fusion approaches that can help improve maritime cybersecurity.

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“…12 Accuracy Kalman filters [113,115] 13. Decision support Several [58,68,76,89,92,93,105,108,128,130,161,254,255] 14.…”

Section: Neural Networkmentioning

confidence: 99%

Enhancing Maritime Cybersecurity through Operational Technology Sensor Data Fusion: A Comprehensive Survey and Analysis

Potamos,

Stavrou,

Stavrou

2024

Sensors

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“…Dempster-Shafer (DS) evidence theory belongs to the category of multiple-criteria decision-making (MCDM)and was first applied to expert systems with the ability to handle indefinite information [21,22]. It provides a forceful tool for the representation and fusion of indefinite information at the decision level.…”

Section: Ds Evidence Theorymentioning

confidence: 99%

Flood Risk Assessment and Management in Urban Communities: The Case of Communities in Wuhan

Pan

Yan

Zhao

et al. 2022

Land

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The likelihood and uncertainty of severe rains and flooding in the middle basin of the Yangtze River have grown due to global warming and growing urbanization. A flood risk assessment index system is built based on resilience theory to assess community flood risk in a significantly changing environment, with communities serving as the primary body to manage flood risk in cities. The flood risk level of communities in Wuhan from 2011 to 2020 was assessed using the Analytic Hierarchical Process (AHP) and Dempster–Shafer (DS) evidence theory, utilizing an example of the typical Wuhan community. The findings indicate that: (1) The weight of hazard-causing factors is the largest and has the greatest influence on the risk of flooding in the community. (2) When looking at time series, the risk of hazard-causing factors gradually rises, while the risks associated with systemic governance, protective works, and community vulnerability steadily decline. Building resilient communities and enhancing flood risk management capability should be priorities for the government, local communities, and citizens.

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“…Due to different radar sampling periods and inconsistent startup times, the timing of track points reported by each radar received by the FC is asynchronous and at unequal rates [21]. Moreover, it is difficult to establish the target motion model, which increases the difficulty of TTTA.…”

Section: Introductionmentioning

confidence: 99%

Asynchronous Track-to-Track Association Based on Pseudo Nearest Neighbor Distance for Distributed Networked Radar System

Chen

Zhang

et al. 2023

Electronics

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In radar network systems, target tracks reported from different radars need to be associated and fused, and the track-to-track association (TTTA) effect is a key factor that directly affects the performance of the entire system. In order to solve the problem of the low accuracy of TTTA in network radar systems with asynchronous unequal rates, an asynchronous TTTA algorithm based on pseudo nearest neighbor distance is proposed. Firstly, the calculation method of pseudo nearest neighbor distance between the track point and the track data set is defined, then the correlation degree between the two track data sets is obtained by using grey theory, and then the Jonker-Volgenant algorithm is combined with the classical allocation method to judge the TTTA. The algorithm does not need time domain alignment and can effectively avoid the accumulation and propagation of estimation errors. The simulation results show that the algorithm has a high average correct association rate and is less affected by the radar sampling period ratio, startup time, and noise distribution, and the average correct association rate for different movement types of target tracks remains above 99%. Furthermore, compared with other algorithms, this algorithm maintains a stable low level of the number of false associations and the maximum false association rates, and has strong robustness and advantages.

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A fusion algorithm of target dynamic information for asynchronous multi-sensors

Cited by 12 publications

References 14 publications

Enhancing Maritime Cybersecurity through Operational Technology Sensor Data Fusion: A Comprehensive Survey and Analysis

Enhancing Maritime Cybersecurity through Operational Technology Sensor Data Fusion: A Comprehensive Survey and Analysis

Flood Risk Assessment and Management in Urban Communities: The Case of Communities in Wuhan

Asynchronous Track-to-Track Association Based on Pseudo Nearest Neighbor Distance for Distributed Networked Radar System

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