基于支持向量机的无线电引信抗扫频式干扰研究

Research on Anti-frequency Sweeping Jamming of Radio Fuze Based on Support Vector Machine

扫频式干扰对无线电引信威胁很大,为此研究了支持向量机方法在无线电引信抗扫频式干扰中应用的可行性。以连续波多普勒无线电引信为例,从理论上分析扫频干扰信号作用下引信检波输出信号的频谱特征。提出一种基于傅里叶频谱的特征参量提取方法,并利用支持向量机对干扰信号与目标信号进行分类识别。识别实验结果表明,该方法可以获得很高的分类识别正确率,能够有效提高连续波多普勒无线电引信的抗扫频式干扰能力,将支持向量机应用于无线电引信抗干扰可以获得很好的效果。

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 antifrequency 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.