A Practical Framework for Complex Interrupted Sampling Repeater Jamming Parameter Measurement

Interrupted sampling repeater jamming (ISRJ) poses a major threat to radar systems due to its high flexibility and effectiveness. Accurately measuring the key parameters of ISRJ components can provide crucial prior information for subsequent antijamming efforts. However, traditional methods suffer from performance degradation when handling ISRJ signals with a wide dynamic power range, as well as nonperiodic or nonuniform complex ISRJ signals. To address this issue, this article proposes a parameter measurement framework that combines coarse estimation, edge detection, and discontinuity point detection. First, constant false-alarm rate (CFAR) detection is performed in the frequency domain to achieve a coarse estimation of effective signal segments. Subsequently, a difference of box (DOB) filter is employed for precise edge detection of each ISRJ component. Finally, the wavelet transform is utilized to detect discontinuity points within the components, enabling the estimation of jamming slice widths. This method can measure parameters such as the arrival time, slice width, and number of repetitions of ISRJ. Numerical simulation experiments demonstrate that the proposed method significantly outperforms traditional methods, achieving over 97% detection accuracy at a jamming-to-signal-plus-noise ratio (JSNR) of 6 dB and reducing slice width measurement errors by over 60% compared to baseline approaches. Furthermore, verification using real-world measured data confirms the engineering applicability of this method.