基于阵列激光波形特征识别的激光引信抗干扰方法

针对激光引信易受云雾等气溶胶环境的干扰问题，提出了一种基于阵列激光波形特征识别的抗干扰方法。根据脉冲激光在气溶胶环境的散射特性，理论分析了发射脉冲宽度以及视场角对系统在干扰环境中目标识别的影响，仿真了目标处于干扰环境中的波形时域特征，并通过实验样机对仿真结果进行实测验证。基于回波波形特征，设计了一种窄视场阵列激光回波特征数字化识别的探测系统方案，并通过虚拟样机仿真技术获取了2°分辨率的目标和云雾的回波阵列数据。数据分析结果表明，由于目标形体和云雾弥散体的物理差异，目标回波阵列的能量方差极值及均值都大于云雾，通过设定帧内回波阵列的能量方差的阈值和帧间方差累计的方法能有效提升激光引信抗干扰性能。文中的仿真和实测结果都为基于阵列激光波形识别的抗干扰方法的有效性提供了理论和实验依据。

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.