id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-30253	Zhang, Xiaoyu; Ji, Xiang; Li, Yize	Research on Intelligent Anti-Jamming for Data Links Based on CV-R-BiLSTM-A Interference Recognition Network	2025	6	.pdf	application/pdf	3949	196	46	Given the current lack of interference signal recognition methods and the low overall recognition rate of existing methods, this paper proposes an interference recognition network method based on complex-valued residual bidirectional long short-term memory attention (CV-R-BiLSTM-A) to identify interference signals. In response to the current problems of fewer interference signal recognition methods and the low overall recognition rate of interference recognition in existing methods, this paper proposes the CV-R-BiLSTM-A network to recognize interference signals.	cache/fcis-30253.pdf	txt/fcis-30253.txt