Radar main‐lobe jamming suppression and identification based on robust whitening Blind Source Separation and Convolutional Neural Networks
Author:
Affiliation:
1. School of Information and Electronics Beijing Institute of Technology Beijing China
2. Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China
3. Beijing Institute of Technology Chongqing Innovation Center Chongqing China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Chongqing
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/rsn2.12202
Reference20 articles.
1. Mainlobe interference suppression based on eigen‐projection processing and covariance matrix reconstruction;Yang X.;IEEE Antenn. Wirel. Propag. Lett.,2014
2. Robust wideband Adaptive beamforming based on focusing transformation and steering vector compensation;Yang X.;IEEE Antenn. Wirel. Propag. Lett.,2020
3. Joint adaptive beamforming techniques for distributed array radars in multiple mainlobe and sidelobe jammings;Chen X.;IEEE Antenn. Wirel. Propag. Lett.,2020
4. Blind beamforming for non Gaussian signals;Cardoso J.‐F.;Proc. Inst. Elect. Eng. F.,1993
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