With an ever worsening geopolitical situation, not least due to Russia’s offensive war in Ukraine, the need to detect enemy movement and disrupt their detection capabilities has increased in defensive value. Using real equipment to test different strategies and placements of radar systems is both costly and time consuming, and this thesis therefore investigates methods of simulating large-scale scenarios of electronic warfare in real-time. The proposed methods include using approximations, multithreading, simplified signal representations and fast convolutions. The results show that if high efficiency is required, the developed simulation structure with a simplified signal representation is able to process one million signals every 50 ms which indicates that realistic and large-scale simulations of this kind is possible. If a more realistic approach is required, a representation using sampled signals is proposed which also utilizes the GPU, though results show that the efficiency drops to around 185.1162 s per one million signals.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-205604 |
| Date | January 2024 |
| Creators | Hjortswang, Magnus |
| Publisher | Linköpings universitet, Kommunikationssystem |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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