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Open-Source and Cloud-Based Solutions for Efficient HFSWR Site Planning
Abstract:
The capability to detect targets beyond the horizon is one of the High Frequency Surface Wave Radar’s (HFSWR) key advantages, which are primarily used for detecting vessels at distances exceeding 350 km. Compared to microwave radars, which typically have detection ranges of up to 40 km, HFSWRs offer significantly greater coverage. This paper specifically focuses on planning the coverage area of these radars using the proposed solution and open-source software tools. The proposed software tool should streamline marketing presentations, site planning, and site surveys by enabling fast and efficient coverage planning, the selection of HFSWR locations, coverage areas plotting, and the visualisation of antennas/containers, directly on Google Earth (GE). GE is a freely available desktop and mobile application which enables preliminary site visualization where HFSWR is planned. We also identified readily available, widely adopted, and free applications (open-source) that provide excellent results with minimal programming effort. Although the scripting frameworks of licenced software tools share structural similarities, the functional workflow development often demands significant time to identify suitable functions and write new code, but they are cost-effective (Google Sheets, LibreOffice Calc etc.), free and widely accessible, with no licensing costs. Cross-platform flexibility and cloud-based mode of operation are of particular importance, due to the possibility of calculating coverage area using only mobile devices, which is especially important in practice. The rapid visualization enables us to adjust input parameters and redraw multiple times until we achieve an optimal solution for each HFSWR location, as well as comprehensive coverage across multiple locations.
CITATION:
IEEE format
D. Marjanović, D. Golubović, “Open-Source and Cloud-Based Solutions for Efficient HFSWR Site Planning,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 315-322. doi:10.15308/Sinteza-2025-315-322
APA format
Marjanović, D., Golubović, D. (2025). Open-Source and Cloud-Based Solutions for Efficient HFSWR Site Planning. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-315-322
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