Detection of GNSS spoofing using the Fourier transform of correlator outputs and mitigation using an autoencoder neural network-Reference-Cited by-同舟云学术

Detection of GNSS spoofing using the Fourier transform of correlator outputs and mitigation using an autoencoder neural network

Published:2023-05-03 Issue: Volume: Page:1-20
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Tohidi S.¹,Mosavi M. R.¹^ORCID,Abedi A. A.¹

Affiliation:

1. Department of Electrical Engineering, Iran University of Science and Technology, Narmak, Tehran 16846-13114, Iran

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2023.2203024

Reference46 articles.

1. A new post-correlation anti-jamming technique for GPS receivers

2. Bamberg, T., Appel, M., and Meurer, M., 2018. Which GNSS tracking loop configuration is most robust against spoofing? In: Proceedings of the 31st international technical meeting of the satellite division of the Institute of Navigation (ION GNSS + 2018), September, Miami, FL, 3587–3595.

3. Broumandan, A. et al., 2015. A network-based GNSS structural interference detection, classification and source localization. In: Proceedings of the 28th international technical meeting of the satellite division of the Institute of Navigation (ION GNSS+ 2015), September, Tampa, FL, 3358–3369.

4. Broumandan, A. et al., 2016a. An approach to discriminate GNSS spoofing from multipath fading. In: 8th ESA workshop on satellite navigation technologies and European workshop on GNSS signals and signal processing (NAVITEC), 14–16 December, Noordwijk, Netherlands, 1–10.

5. Overview of Spatial Processing Approaches for GNSS Structural Interference Detection and Mitigation

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