A VAE-Based Framework for GNSS Jammer Classification Using Time-Frequency Image Representations

Paramata, Swaroop Nanda and V, Pardha Saradhi and D, Teja and G, Himaja and Elango, Arul (2025) A VAE-Based Framework for GNSS Jammer Classification Using Time-Frequency Image Representations. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.

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Abstract

Global Navigation Satellite System (GNSS) signals are highly susceptible to intentional radio-frequency jamming, threatening safety- and time-critical services. We propose a data-efficient monitoring pipeline that converts raw GNSS snapshots into time–frequency spectrograms and employs a Variational

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:16
Last Modified: 16 Apr 2026 16:01
URI: http://eprints.eai.eu/id/eprint/60008

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