Pattern Recognition Method of Radio Fuze Signal Based on Third-Order Spectrum and Optimized Support Vector Machines Algorithm

Radio fuzes are devices that can realize target detection, which can effectively improve the striking ability of weapons and equipment on the target. The electromagnetic environment of the future battlefield is very complex, and the radio fuze is facing severe electromagnetic interference threat, which leads to the fuze not being able to function normally. A radio fuze anti-jamming method based on the third-order spectrum and optimized support vector machine is studied in this paper. In order to classify and identify the target and jamming signals, the method use the third-order spectral features and the support vector machine optimized by Tennessee whiskers. It can effectively counteract the interference of the electronic jamming equipment for the fuze, and enhance the survival ability of the fuze in the future battlefield.