Interrupted-Sampling Repeater Jamming Suppression with One-Dimensional Semi-Parametric Signal Decomposition

Protective measures against interrupted-sampling repeater jamming are vital for coherent wide band radar. In this paper, we propose a one-dimensional semi-parametric method for interrupted sampling repeater jamming suppression, which represents the target and jamming signal uniformly with semi-parametric models. Instead of utilizing the two-dimensional time-frequency analysis, we perform parameter estimation of one-dimensional signal with sparse decomposition straightforwardly. Afterwards, a modified k-means clustering method is employed to distinguish jamming components from target components. The semi-parametric signal decomposition algorithm is of high efficiency and low complexity simultaneously by introducing fast operations. Extensions to suppress interrupted-sampling repeater jamming of synthetic aperture radar are also illustrated. Comparisons with traditional methods show the superiority of our proposal in real working conditions