Abstract: Interrupted sampling and retransmission jamming forms multiple false targets in the range dimension by sampling and retransmitting the radar transmitted pulses multiple times, which has both deceptive and suppressive effects and seriously affects the radar's detection performance of real targets. To address this issue, an interrupted sampling and retransmission jamming suppression algorithm based on the maximum entropy theory is proposed in this paper. Firstly, the echo signal is sliced and dechirped to remove the frequency offset. Then, the Fourier transform is performed on each slice signal to obtain the frequency domain information. Finally, the maximum entropy algorithm is used to calculate the optimal segmentation threshold of the signal to distinguish the jamming signal from the target signal, thereby suppressing the jamming. Simulation experiments show that the proposed algorithm has a small pulse compression loss and still has good jamming suppression performance under high jamming-to-signal ratio conditions. The signal-to-jamming ratio improvement can reach 30 dB, significantly enhancing the radar's detection capability and reliability of real targets.