Abstract: 　　As a typical active jamming method, interrupted sampling and repeater jamming (ISRJ) can severely impair the detection performance of radars. Currently, many researchers aim to suppress such jamming by optimizing the design of radar transmitted waveforms. Although most of these methods can achieve effective jamming suppression, they are mostly implemented under the premise of having accurate prior information about the jamming.
　　In view of this, this paper proposes an adaptive anti-jamming waveform design method that requires no prior knowledge of jamming. The method divides the transmitted waveform into a detection waveform and a protection waveform. By analyzing the variation law of interference peaks caused by different combination modes of the two types of waveforms, it realizes the dynamic adjustment of the proportion of the transmitted waveform, so as to adapt to ISRJ scenarios with different parameters. Meanwhile, to ensure the detection effect of the designed waveform, this paper takes the minimization of the cross-correlation function energy between the detection waveform and the protection waveform, as well as the sidelobe energy of the detection waveform’s autocorrelation function, as the objective function. A genetic simulated annealing algorithm is used to solve this objective function, thereby obtaining the optimized waveform. Simulation results show that, without prior information about unknown jamming, the proposed method can effectively suppress ISRJ with different parameters when facing jammers adopting different jamming strategies, and exhibits excellent adaptive anti-jamming performance.