纪朋徽,邢世其,代大海,等. 基于逆chirp scaling的合成孔径雷达卷积欺骗干扰方法[J]. 电波科学学报,2023,38(6):1029-1039. DOI: 10.12265/j.cjors.2022246
      引用本文: 纪朋徽,邢世其,代大海,等. 基于逆chirp scaling的合成孔径雷达卷积欺骗干扰方法[J]. 电波科学学报,2023,38(6):1029-1039. DOI: 10.12265/j.cjors.2022246
      JI P H, XING S Q, DAI D H, et al. A SAR convolutional deceptive jamming method based on the inverse chirp scaling[J]. Chinese journal of radio science,2023,38(6):1029-1039. (in Chinese). DOI: 10.12265/j.cjors.2022246
      Citation: JI P H, XING S Q, DAI D H, et al. A SAR convolutional deceptive jamming method based on the inverse chirp scaling[J]. Chinese journal of radio science,2023,38(6):1029-1039. (in Chinese). DOI: 10.12265/j.cjors.2022246

      基于逆chirp scaling的合成孔径雷达卷积欺骗干扰方法

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

      • 摘要: 针对现有合成孔径雷达(synthetic aperture radar, SAR)欺骗干扰方法生成虚假场景时难以兼顾逼真度和低计算量的问题,提出了一种基于逆chirp scaling(CS)成像方法的SAR卷积欺骗干扰方法. 该方法利用相位相乘补偿虚假场景内各虚假点的距离徙动,避免了插值运算,在降低求解干扰机频率响应函数计算量的同时,提高了虚假场景的生成精度. 并且通过对欺骗模板进行线性调频Z变换(chirp-Z transform, CZT),直接从模板图像变换到实际SAR信号对应的空间频域,再次避免了插值运算,进一步降低了求解干扰机频率响应函数的计算量,提高了干扰机实时性. 理论分析和仿真实验验证了相比逆omega-K(ωk)近似方法和经典的两步生成方法,本文方法能够兼顾虚假场景的生成精度和计算效率.

         

        Abstract: 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.

         

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