Particle Filter based approach for GNSS interference source tracking: a feasibility study

Sanat K. Biswas*, Ediz Cetin

*Corresponding author for this work

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

Abstract

Global Navigation Satellite System (GNSS) signals are vulnerable to intentional or unintentional Radio Frequency Interference (RFI) sources. Since GNSS is used in numerous critical services, it is of interest to accurately localise and track the RFI source to take further actions. This paper explores the possibility of implementing the Particle Filter for localising a moving GNSS RFI source using Angle of Arrival (AOA) and Time Difference of Arrival (TDOA) observations. The performance of the Particle Filter and the Single Propagation Unscented Kalman Filter (SPUKF) are compared in this context in terms of estimation accuracy, the standard deviation in error and the processing time.

Original languageEnglish
Title of host publication2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Electronic)9789463968003
ISBN (Print)9781728156903
DOIs
Publication statusPublished - 2020
Event33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020 - Rome, Italy
Duration: 29 Aug 20205 Sep 2020

Publication series

Name
ISSN (Print)2640-7027
ISSN (Electronic)2642-4339

Conference

Conference33rd General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2020
CountryItaly
CityRome
Period29/08/205/09/20

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