Abstract
Global Navigation Satellite Systems (GNSS) are vulnerable to Radio Frequency Interference (RFI). Prior work has explored the use of Particle Filter (PF) for geo-locating RFI sources, but their high computational cost remains a challenge. This work presents a comparative study of hardware implementations of PF and its efficient variant, Extrapolated Single Propagation Particle Filter (ESP-PF), for RFI source tracking. Results show that the hardware implementation of PF performs slower than ESP-PF and has higher resource consumption. The work highlights the trade-offs between computational complexity and hardware resource utilisation, offering insights for optimised source tracking.
Original language | English |
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Title of host publication | 2025 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC 2025) |
Publication status | Accepted/In press - 2025 |
Event | URSI Asia-Pacific Radio Science Conference 2025 - Sydney, Australia Duration: 17 Aug 2025 → 22 Aug 2025 |
Conference
Conference | URSI Asia-Pacific Radio Science Conference 2025 |
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Abbreviated title | AP-RASC 2025 |
Country/Territory | Australia |
City | Sydney |
Period | 17/08/25 → 22/08/25 |