Radar imaging

Gene

Social psychology

Robustness (evolution)

Convergence (economics)

Deception

Radar jamming and deception

Telecommunications

Economics

Biochemistry

Computer science

Electromagnetic environment

Thermodynamics

Physics

Psychology

Pattern recognition (psychology)

Artificial intelligence

Chemistry

Economic growth

Radar

Convolutional neural network

Machine learning

Pulse-Doppler radar

Jamming

IEEE Geoscience and Remote Sensing Letters

Accurate sensing of the main-lobe active deception jamming is critical for radar anti-jamming and extended target detection in complex electromagnetic environment. This letter therefore deals with the problem of multiple active deception jamming recognition in extended target settings. A residual convolutional neural network with attention mechanism-based radar active deception jamming recognition algorithm is proposed leveraging a hybrid model to capture much rich features through multi-domain feature fusion. The proposed method can outperform state-of-the-art methods in terms of recognition accuracy, model size, and convergence speed. Experimental results demonstrate its effectiveness and robustness.

Active Deception Jamming Recognition in the Presence of Extended Target