Anti-Intermittent Sampling Repeater Jamming Method based on Convex Optimization Techniques

Intermittent sampling repeater jamming is an advanced deception jamming method based on digital radio-frequency memory (DRFM), which fully integrated under-sampling and send-and-receive time-sharing techniques to achieving coherent intensive false targets and no effective method can be implemented by radar to counteract at present. This paper proposes an anti-intermittent sampling repeater jamming technique aimed at exploiting the absence information of the radar transmitted signal resulted from the under-sampling, and the advantage of the proposed method is the realization of normal target detection and anti jamming simultaneously. Firstly, an arbitrary low-sidelobe phase encoded signal as the master signal split into different sub-signal according to the modulation parameters of this jamming, and then the corresponding sub-signal's mismatched filter has been designed to meet the orthogonal criteria between the different sub-signals by convex optimization The flow chart is provided and the theoretical validity of the method has been proved by simulation experiments.