Paper
11 September 2024 Satellite signal recognition algorithm based on Doppler shift features
Huaijin Li
Author Affiliations +
Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 1325311 (2024) https://doi.org/10.1117/12.3041045
Event: Fourth International Conference on Signal Image Processing and Communication, 2024, Xi'an, China
Abstract
Aiming at the problem of high-precision recognition of satellite signals, this paper proposes a Doppler-shift oriented dynamically optimised LSTM satellite signal recognition method, which utilises the effect of Doppler shift on satellite communication signals of different orbits and combines the differences in the modulation methods of communication signals of different regimes to realise the identification of satellite signals, and constructs a satellite signal recognition model using a neural network combination of CNN-LSTM, and the satellite signal recognition accuracy performance reaches 99% in the presence of In the presence of Doppler shift, the simulation is based on the signal samples collected from the air port, and the accuracy performance of satellite communication signal recognition for typical regimes such as BPSK, QPSK, QAM, etc. reaches 99.02%.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Huaijin Li "Satellite signal recognition algorithm based on Doppler shift features", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 1325311 (11 September 2024); https://doi.org/10.1117/12.3041045
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KEYWORDS
Modulation

Data modeling

Doppler effect

Satellites

Signal processing

Satellite communications

Signal to noise ratio

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