Classification Method of Echo and Interference Signal Support Vector Machine Based on Two-Dimensional Characteristic Parameters

In order to improve the anti-jamming ability of FM fuze in electronic countermeasures, a support vector machine classification method for echo signal and jamming signal based on two-dimensional characteristic parameters was proposed. In this method, the actual target echo signal and the guided jamming signal of the frequency modulated fuze are taken as the research objects, and the time domain information entropy and frequency domain information entropy are used as the two-dimensional feature parameters, and the two signals are classified and identified by the support vector machine classification method. Through laboratory tests, it can be seen that the classification accuracy can reach more than 95%.