Aug 19, 2019 · Set of spectrogram binary images corresponding to GNSS signal with and without interference in a variety of scenarios and signal parameters.

Set of spectrogram binary images corresponding to GNSS signal with and without interference in a variety of scenarios and signal parameters.

This paper proposes to treat the jammer classification problem in the Global Navigation Satellite System bands as a black-and-white image classification ...

Set of spectrogram binary images corresponding to GNSS signal with and without interference in a variety of scenarios and signal parameters.

The image datasets obtained by transformation are divided into three parts, 70% is used to train the model of CNN, 10% of data is utilized for tuning the ...

The used framework FedAvg is assessed on a dataset consisting of spectrogram images of simulated interfered GNSS signal.

Image datasets for jammer classification in GNSS [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3783969 . Raw IQ Dataset – Contains 1000 training samples ...

Set of spectrogram binary images corresponding to GNSS signal with and without interference in a variety of scenarios and signal parameters.

Nov 1, 2019 · This paper proposes to treat the jammer classification problem in the Global Navigation Satellite System bands as a black-and-white image classification ...

To implement an AI model that effectively detects and classifies different types of GNSS jamming and spoofing threats, a structured approach has been followed, ...