Classification and Identification Method of Radio Fuze Target and Sweep Jamming Signals Based on Third-Order Spectrum Features

To overcome the problem of insufficiency linear frequency modulation (LFM) radio fuzes against sweep-type jamming, a method is proposed to classify and identify fuze targets interfering signals based on third-order spectrum features. Using measured data an LFM fuze, spectral transform applied output detector end under action target several amplitude modulated sweeping signals, mean value, entropy, singular value entropy are extracted as three-dimensional The experimental results show that classification identification AM interference using features signal at has high success rate, with comprehensive accuracy 98.33%.