Research on anti-frequency sweeping jamming of radio fuze based on support vector machine

Frequency sweeping jamming is a great threat to the radio fuze. The feasibility of support vector machine applied in anti-frequency sweeping jamming of radio fuze is studied. The frequency spectrum characteristics of fuze detection signal under the action of the frequency sweeping signal are analyzed theoretically with continuous wave Doppler radio fuze as an example. A feature parameter extraction method based on the Fourier spectrum is proposed. The support vector machine is used for classification and recognition of target signal and jamming signal. The experimental results show that the proposed method can be used to obtain a very high classification and recognition correct rate, and effectively improve the anti-frequency sweeping jamming ability of the continuous wave Doppler radio fuze. A good effect can be obtained by applying the support vector machine to anti-jamming of radio fuze.