- Tytuł:
- Research on communication emitter identification based on semi-supervised dimensionality reduction in complex electromagnetic environment
- Autorzy:
-
Ge, Wei
Qi, Lin
Tong, Lin
Zhu, Jun
Zhang, Jing
Zhao, Dongyang
Li, Ke - Powiązania:
- https://bibliotekanauki.pl/articles/27311449.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Czasopisma i Monografie PAN
- Tematy:
-
communication emitter identification
feature extraction
dimensionality reduction
VMD
ESDA
variational mode decomposition
exponential semi-supervised discriminant analysis
identyfikacja emitera komunikacyjnego
ekstrakcja cech
redukcja wymiarowości
rozkład w trybie wariacyjnym
analiza dyskryminacyjna wykładnicza półnadzorowana - Opis:
- The individual identification of communication emitters is a process of identifying different emitters based on the radio frequency fingerprint features extracted from the received signals. Due to the inherent non-linearity of the emitter power amplifier, the fingerprints provide distinguishing features for emitter identification. In this study, approximate entropy is introduced into variational mode decomposition, whose features performed in each mode which is decomposed from the reconstructed signal are extracted while the local minimum removal method is used to filter out the noise mode to improve SNR. We proposed a semi-supervised dimensionality reduction method named exponential semi-supervised discriminant analysis in order to reduce the high-dimensional feature vectors of the signals, and LightGBM is applied to build a classifier for communication emitter identification. The experimental results show that the method performs better than the state-of-the-art individual communication emitter identification technology for the steady signal data set of radio stations with the same plant, batch and model.
- Źródło:
-
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e145766
0239-7528 - Pojawia się w:
- Bulletin of the Polish Academy of Sciences. Technical Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł