| Citation: | ZHOU Changlin, WANG Chunyang, GONG Jian, et al. SMSP jamming countermeasure method based on maximum entropy method and genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(3): 447-453. doi: 10.13700/j.bh.1001-5965.2020.0584(in Chinese)
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Linear frequency modulation (LFM) signal is a commonly used transmission signal of modern radar, which can effectively improve the detection performance of radar. However, when smeared spectrum (SMSP) jamming is applied to the main lobe self-defense, the intensity of the jamming signal is much higher than the target echo signal, and it can cover the target echo signal, which is an effective jamming pattern against LFM signal. In this paper, the difference in time-frequency characteristics of the jamming signal and the target echo signal is used to highlight the difference in time-frequency characteristics through the generalized S transform (GST), and then the maximum entropy method and genetic algorithm (GA) are used to obtain the segmentation threshold of the time-frequency filter. The purpose of jamming suppression is achieved through the constructed time-frequency filter. The simulation results show that when the jamming-to-signal ratio (JSR) is greater than 10 dB and the signal-to-noise ratio (SNR) is greater than 0 dB, it has a better jamming suppression effect, and the maximum signal-to-jamming-plus-noise ratio (SJNR) gain is close to 25 dB.
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