Comparison of hardware implementations of Particle Filter and Extrapolated Single Propagation Particle Filter for tracking of Radio Frequency Interference sources

Duc Dung Vu, Sanat K. Biswas, Alan Kan, Ediz Cetin

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

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 languageEnglish
Title of host publication2025 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC 2025)
Publication statusAccepted/In press - 2025
EventURSI Asia-Pacific Radio Science Conference 2025 - Sydney, Australia
Duration: 17 Aug 202522 Aug 2025

Conference

ConferenceURSI Asia-Pacific Radio Science Conference 2025
Abbreviated titleAP-RASC 2025
Country/TerritoryAustralia
CitySydney
Period17/08/2522/08/25

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