Weighted Chaotic Sampling and Frequency Modulation Dexterous Jamming

In this paper, from the principle of dexterous jamming, the shortcomings of fast attenuation of intermittent sampling and forwarding jamming and strong regularity of periodic waveform convolution modulation jamming are deduced and analyzed. This paper proposes an improved dexterous jamming method based on the combination of intermittent chaotic sampling forwarding and dexterous noise convolution. Firstly, a weighted chaotic sequence is generated, and the characteristics of the chaotic sequence are used to control the sampling so that the distribution of the pseudo-targets does not have a strong regularity, which makes the jamming identification difficult; subsequently, the dexterous noise is used to carry out the convolutional modulation of the sampled signals, which improves the amplitude of the sub-pseudo-targets, and thus realizes the increase of the number of effective pseudo-targets. Finally, by comparing with the classical dexterity jamming algorithm, the effectiveness and correctness of the algorithm is verified in the field of pulse compression radar security attack and defense confrontation.