Interrupted-Sampling Repeater Jamming-Suppression Method Based on a Multi-Stages Multi-Domains Joint Anti-Jamming Depth Network

Jamming will seriously affect the detection ability of radar, so it is essential to suppress jamming radar echoes. Interrupted-sampling repeater (ISRJ) based on a digital-radio-frequency-memory (DRFM) device can generate false targets at victim by interception and repeating transmission signal, which highly correlated with true target signal. ISRJ achieve main lobe has both deception oppressive effects, difficult for existing methods this effectively. In paper, we propose deep-learning-based anti-jamming network, named MSMD-net (Multi-stage Multi-domain joint depth network), suppressing in echo. first stage MSMD-net, considering that signal detect under high jamming-to-signal ratio (JSR), preprocessing method limiting filtering time-frequency domain reduce JSR using auxiliary knowledge radar. second stage, taking advantage discontinuity time domain, UT-net network combines U-net structure transformer module. The performs feature extraction reconstruction preliminarily realizes suppression component. third combined phase information, one-dimensional complex residual convolution (ResCU-net) constructed realize recovery further. experimental results show obtain best effect different transmitted signals, modes, parameters.