Laser fuze anti-interference method based on array laser echo waveform feature recognition

Aiming at the problem that the laser fuze is easily interfered by cloud, fog and other aerosol environment, an anti-interference method based on the array laser echo waveform feature recognition is proposed. According to the scattering theory of pulsed laser in aerosol environment, the influence of pulse width and field angle on target recognition is analyzed. The time domain characteristics of target waveform in interference environment are simulated, and the simulation results are verified. Based on the characteristics of echo waveform, a detection system scheme of narrow field array laser echo feature digital recognition is designed, and the target and cloud echo array data with 2° resolution are obtained by virtual prototype simulation technology. The results of analysis indicate that the extreme value and mean value of pulse amplitude variance of target echo array are larger than that of cloud, and the method based on array laser echo waveform feature can effectively improve the anti-interference performance. The simulation and measured results provide theoretical and experimental basis for the effectiveness of the anti-jamming method based on array laser waveform recognition.