Radar False Target Generation Method Based on Multi-Feature Joint Modulation

ith the development of polarimetric radar jamming identification techniques, traditional deceptive false target jamming has become increasingly susceptible to detection and suppression. To address the above challenges, this paper proposes a false target jamming method based on multi-feature joint modulation for ship protection scenarios. First, an extended target echo signal model for polarimetric radar is established to clarify the modulation parameters required for false target jamming. Second, the typical characteristics of ship targets across the range, velocity, and polarization dimensions are analyzed—specifically, the non-uniform features in range, micro-motion features in velocity, and multi-feature constraints in polarization—and a corresponding modulation parameter sample set is constructed. Finally, using measured ship target data, a comparative feature analysis is conducted with the proposed jamming method. Furthermore, for both dual-polarimetric and fully polarimetric radar systems, the proposed method and traditional multiple false target jamming are compared and validated under the current typical discrimination feature set using a support vector machine (SVM). The results demonstrate that, compared with traditional multiple false target jamming, the proposed method reduces the jamming discrimination precision rate for dual-polarimetric radar by 46.19% and for fully polarimetric radar by 45.67% under the joint time–frequency–polarization feature set.