Waveform-Domain Bernoulli-Matched Filtering for Suppressing Smart Noise Jamming Based on Interrupted-Sampling Repeater Techniques

Intelligent noise jamming, known as smart noise interrupted-sampling repeater jamming (SN-ISRJ), constitutes a coherent disturbance with suppressive characteristics, engineered to attenuate radar detection performance. This study focuses on anti-SN-ISRJ techniques within the waveform domain, primarily leveraging signal processing methodologies specific to the waveform domain. We illustrate that when utilizing the waveform domain complementary signal set as the transmission waveform, the waveform response function of SN-ISRJ also manifests waveform-domain complementarity. Concurrently, we establish that the cumulative waveform coherence function (CWCF) of SN-ISRJ is locally piecewise nonlinear. Moreover, we demonstrate that in the presence of SN-ISRJ, the CWCF of the received signal constitutes the unique nonzero linear function at the target location. To extract linear components and suppress nonlinear elements in the waveform domain, we introduce Bernoulli filtering within the waveform domain. This procedure, in conjunction with matched filtering, gives rise to a comprehensive signal processing algorithm: waveform-domain Bernoulli matched filtering (WD-BMF). Simulation results substantiate that the proposed WD-BMF attains full suppression of SN-ISRJ without dependence on jamming prior information, preserving the energy of the target echo. It showcases superior adaptive antijamming capabilities when compared to conventional methods.