Echo Preprocessing-Based Smeared Spectrum Interference Suppression

Abstract

Self-protection deceptive interferences (SPDI) are widely used in electronic countermeasures. Smeared spectrum (SMSP) interference, as a typical SPDI, can form a large number of dense false targets at the receiver output to affect effective target detection. Therefore, the suppression of SMSP interference is a compelling issue. The existing SMSP interference suppression methods inevitably result in energy loss of the target due to signal processing. This paper proposes a novel interference suppression method based on echo preprocessing to address this problem. Firstly, the pulse compression (PC) and the coherent integration (CI) characteristics of SMSP interference in the pulse Doppler radar are obtained through the derivation of formulas. Then, echo preprocessing is introduced, and the steps of interference suppression are listed in detail. Finally, the SMSP interference is suppressed because the preprocessed interference forms a center-shifting and range-scaling in the distance dimension after PC, and CI gain cannot be further obtained. The proposed method does not lose the energy of the true target because it does not involve filtering and reconstruction processing. Simulations show that the target detection probability of the proposed method can reach 100% via peak search after the interference suppression when the signal-to-noise ratio is greater than −10 dB and the jamming-to-signal ratio (JSR) is less than 35 dB. Compared with three representative methods in the recent literature, the proposed method has better robustness and higher JSR tolerance.

Radar Signal Classification with Multi-Frequency Multi-Scale Deformable Convolutional Networks and Attention Mechanisms

“…Recent studies have made significant advances in the application of one-dimensional CNNs for radar signal processing, demonstrating progress in interference suppression, intelligent noise interference, and clutter suppression through deep learning techniques. Wang et al [46] investigated an innovative interference suppression method that utilizes echo pre-processing for spread spectrum smearing (SMSP) interference, commonly employed in electronic countermeasures. This approach is designed to counteract the challenges associated with the suppression of SMSP interference without losing the energy of real targets, in turn achieving a 100% target detection probability under certain conditions.…”