A SAR convolutional deceptive jamming method based on the inverse chirp scaling

Aiming at the problem that it is difficult to balance the fidelity and low computation when generating false scenes by existing synthetic aperture radar (SAR) jamming methods, this paper proposes a SAR convolutional deceptive jamming method based on the inverse chirp scaling (CS) imaging algorithm. The method uses phase multiplication to compensate for the distance migration of each false point within the false scene, which avoids interpolation operations and improves the accuracy of false scene generation while reducing the computational effort of obtaining the jammer’s frequency response (JFR). Moreover, by performing chirp-Z transform (CZT) on the deceptive template, the template image can be directly transformed to the space frequency domain corresponding to the actual SAR signal, the interpolation operation is avoided again, the computational effort of obtaining the JFR is further reduced, and the real-time performance of the jammer is proved. Theoretical analysis and simulation experiments verify that the proposed method can balance the accuracy and computational efficiency of false scene generation compared with the inverse omega-K (ωk) approximation method and the classical two-step generation method.