Antispoofing RAIM for dual-recursion particle filter of GNSS calculation

Shuai Han; Desi Luo; Weixiao Meng; Cheng Li

doi:10.1109/TAES.2015.140297

Antispoofing RAIM for dual-recursion particle filter of GNSS calculation

Shuai Han
, Desi Luo
, Weixiao Meng^*
, Cheng Li

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology
Southwest China Research Institute of Electronic Equipment
Memorial University of Newfoundland

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

We propose a dual-recursion particle filter for global navigation satellite system (GNSS) calculations that separates the positioning and velocity estimations. The proposed filter can cover the state space more adequately with the same number of particles, and hence, it provides better positioning accuracy. Additionally, considering the vulnerability of GNSS, an improved receiver autonomous integrity monitoring (RAIM) method is proposed for spoofing detection and spoofing identification. This method is able to resist attacks from one or many spoofing satellites. Using the improved RAIM, the proposed particle filter can correct the positioning under spoofing attacks.

Original language	English
Article number	7472975
Pages (from-to)	836-851
Number of pages	16
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	52
Issue number	2
DOIs	https://doi.org/10.1109/TAES.2015.140297
State	Published - Apr 2016
Externally published	Yes

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10.1109/TAES.2015.140297

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title = "Antispoofing RAIM for dual-recursion particle filter of GNSS calculation",

abstract = "We propose a dual-recursion particle filter for global navigation satellite system (GNSS) calculations that separates the positioning and velocity estimations. The proposed filter can cover the state space more adequately with the same number of particles, and hence, it provides better positioning accuracy. Additionally, considering the vulnerability of GNSS, an improved receiver autonomous integrity monitoring (RAIM) method is proposed for spoofing detection and spoofing identification. This method is able to resist attacks from one or many spoofing satellites. Using the improved RAIM, the proposed particle filter can correct the positioning under spoofing attacks.",

author = "Shuai Han and Desi Luo and Weixiao Meng and Cheng Li",

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Antispoofing RAIM for dual-recursion particle filter of GNSS calculation

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