基于信号变分分解的无线电引信抗干扰方法

The pulse Doppler fuze experiences sweep-jamming when the jamming signal overloads the receiver channel, causing the fuze to misfire or detonate prematurely. At present, pulse Doppler fuze can avoid false start due to jamming signal by waveform design and multi-dimensional feature recognition, but how to detect the real target under sweep-jamming is still a difficult problem. Aiming at the above problem, the intermediate frequency signal model of pulse Doppler fuze under sweep-jamming is established, and the method of fuze anti-jamming based on signal variational decomposition is proposed. The method uses total variation regularization to decompose the intermediate frequency signal into three components: pulse, low-frequency sine wave and high-frequency noise, and the pulse is retained and processed to detect the real target. The effectiveness of the method is verified by simulation. The findings demonstrate that, even in situations where the jamming signal ratio is between 0 and 20 dB, the approach can still successfully differentiate the target echo and jamming signal. It can also significantly enhance the pulse Doppler fuze's capacity for target recognition in sweep-jamming scenarios.