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A Navigation Radar Simulation Application for eLearning.

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Title: A Navigation Radar Simulation Application for eLearning.
Authors: Liu, Lei1,2 (AUTHOR), Li, Ye3,4 (AUTHOR) leaf-pilot@outlook.com, Deepali (AUTHOR) dedeepali@wiley.com
Source: Journal of Electrical & Computer Engineering. 4/30/2026, Vol. 2026, p1-12. 12p.
Subjects: Computer simulation, Radar signal processing, Digital learning, Online education, Algorithms, Client/server computing, Geospatial data
Abstract: Electronic learning (eLearning) has emerged as a predominant method for education and training due to its accessibility and flexibility. To overcome the limitations of the traditional Client/Server (C/S) architecture in navigation radar simulation, including its poor generality, restricted spatiotemporal utilization, and incapability of facilitating online practical training, a Browser/Server (B/S)–based navigation radar simulation application was developed. S‐57 files are processed through layer extraction, boundary line removal, and classification storage to generate radar simulation data. The Douglas–Peucker (DP) algorithm is applied for data compression, enhancing processing efficiency. Echo data (e.g., shorelines and fixed objects) are generated using a scan intersection algorithm and rendered centrally to optimize drawing performance. Radial clutter scanning is achieved via sector‐based clipping of double‐layer transparent clutter images. Trail simulation is implemented by classifying, recording, extracting, and converting historical echo data. Simulation results demonstrate that the system is fully functional, operates stably and reliably, and is suitable for online navigation radar training and education. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Electrical & Computer Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A Navigation Radar Simulation Application for eLearning.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Electrical+%26+Computer+Engineering%22">Journal of Electrical & Computer Engineering</searchLink>. 4/30/2026, Vol. 2026, p1-12. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+signal+processing%22">Radar signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+learning%22">Digital learning</searchLink><br /><searchLink fieldCode="DE" term="%22Online+education%22">Online education</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Client%2Fserver+computing%22">Client/server computing</searchLink><br /><searchLink fieldCode="DE" term="%22Geospatial+data%22">Geospatial data</searchLink>
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  Data: Electronic learning (eLearning) has emerged as a predominant method for education and training due to its accessibility and flexibility. To overcome the limitations of the traditional Client/Server (C/S) architecture in navigation radar simulation, including its poor generality, restricted spatiotemporal utilization, and incapability of facilitating online practical training, a Browser/Server (B/S)–based navigation radar simulation application was developed. S‐57 files are processed through layer extraction, boundary line removal, and classification storage to generate radar simulation data. The Douglas–Peucker (DP) algorithm is applied for data compression, enhancing processing efficiency. Echo data (e.g., shorelines and fixed objects) are generated using a scan intersection algorithm and rendered centrally to optimize drawing performance. Radial clutter scanning is achieved via sector‐based clipping of double‐layer transparent clutter images. Trail simulation is implemented by classifying, recording, extracting, and converting historical echo data. Simulation results demonstrate that the system is fully functional, operates stably and reliably, and is suitable for online navigation radar training and education. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Electrical & Computer Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1155/jece/7025591
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Radar signal processing
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      – SubjectFull: Digital learning
        Type: general
      – SubjectFull: Online education
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      – SubjectFull: Algorithms
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      – SubjectFull: Client/server computing
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            – D: 30
              M: 04
              Text: 4/30/2026
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