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The Derivation and Evaluation of Algorithm of Anti-spoofing Attack on Loosely/Tightly Coupled GNSS/INS Integration System

  • Beihang University
  • North Electronic Equipment Research Institute

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

Abstract

The format of spoofing signal in Global Navigation Satellite System (GNSS) is identical to that of real navigation. Therefore, the spoofing has been a severe threat to GNSS. In loosely coupled GNSS/INS integration system, velocity and position are selected as the measurement innovations in Kalman filter (KF). In tightly coupled GNSS/INS integration system, inertial navigation system (INS) assists GNSS, with measurement innovations of pseudo-range and pseudo-range rate. In this paper, a spoofing attack test is performed by tightly coupled GNSS/INS integration system and loosely coupled GNSS/INS integration system respectively and the comparison between the capabilities of the two are made. The loosely or tightly coupled integrated system identifies the spoofing attack signals, by monitoring GNSS and INS. The inconsistency between velocity and position in loosely coupled integrated system, pseudo-range and pseudo-range rate in tightly coupled integrated system, which makes it possible to detect the spoofing attack signals. This paper presents the performance test on loosely/tightly coupled GNSS/INS integration system for anti-spoofing, by the trajectory generated by Spirent SimGen. The simulation result indicates that the algorithm of spoofing detection based on tightly coupled system outperforms that on the loosely coupled system.

Original languageEnglish
Title of host publicationChina Satellite Navigation Conference, CSNC 2020 Proceedings
Subtitle of host publicationVolume III
EditorsJiadong Sun, Changfeng Yang, Jun Xie
PublisherSpringer
Pages691-700
Number of pages10
ISBN (Print)9789811537141
DOIs
StatePublished - 2020
Event11th China Satellite Navigation Conference, CSNC 2020 - Chengdu, China
Duration: 22 Nov 202025 Nov 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume652 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th China Satellite Navigation Conference, CSNC 2020
Country/TerritoryChina
CityChengdu
Period22/11/2025/11/20

Keywords

  • Coupled system
  • Loosely coupled
  • Spoofing detection
  • Tightly coupled

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