Prediction of Hybrid Asynchronous Frequency Hopping Pattern based on Deep Learning in Wideband Spectrum

Authors: Wang, Ya, Wang, Jiaqi, Yuan, Shuai, Liu, Naijin, Lu, Yuanming

Source: 2023 China Automation Congress (CAC) Automation Congress (CAC), 2023 China. :4751-4756 Nov, 2023

Relation: 2023 China Automation Congress (CAC)

Spectrogram-based Frequency Hopping Signal Detection in a Complex Electromagnetic Environment

Authors: Deng, Zhe, Lei, Jing

Source: 2022 7th International Conference on Signal and Image Processing (ICSIP) Signal and Image Processing (ICSIP), 2022 7th International Conference on. :6-10 Jul, 2022

Relation: 2022 7th International Conference on Signal and Image Processing (ICSIP)

A New Frequency Hopping Signal Detection of Civil UAV Based on Improved K-Means Clustering Algorithm

Authors: Ye, J., Zou, J., Gao, J., Zhang, G., Kong, M., Pei, Z., Cui, K.

Source: IEEE Access Access, IEEE. 9:53190-53204 2021

Frequency hopping signal detection based on optimized generalized S transform and ResNet

Authors: Chun Li, Ying Chen, Zhijin Zhao

Source: Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12843-12863 (2023)

Subject Terms: frequency hopping signal detection, generalized s transform, genetic algorithm, convolutional neural network, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

File Description: electronic resource

Relation: https://doaj.org/toc/1551-0018

Access URL: https://doaj.org/article/4f74df450ad94ced9d81215039d93fef