云雾环境下脉冲激光目标回波信号分离算法  

Pulse laser target echo signal separation algorithm in cloud environment

作　　者：孙墨祺 刘星[1] 王明辉 Sun Moqi;Liu Xing;Wang Minghui(Xi’an University of Technology,Xi’an 710021,China;Northwest industry group co.LTD,Xi^n 710043,China)

机构地区：[1]西安工业大学,西安710021 [2]西北工业集团有限公司,西安710043

出　　处：《国外电子测量技术》2019年第11期11-17,共7页Foreign Electronic Measurement Technology

摘　　要：抗云雾环境干扰是对空脉冲激光近场探测面临的核心问题。为了解决云雾环境下脉冲激光探测易受后向散射干扰的问题,建立了云雾环境下的激光传输模型,针对在特定距离上目标回波和后向散射回波叠加难以分别的问题,提出了一种基于小波变换的波形分离方法。采用比尔朗伯定律,通过建立后向散射波形特征函数与目标回波高斯拟合函数,对脉冲激光回波采取去后向散射算法,解决了后向散射回波和目标回波叠加时的目标信号判别问题。仿真结果表明,该方法达到了锐化回波信号波形和识别目标回波的效果,可以有效提高目标识别概率和抗干扰性能。Anti-cloud environment interference is the core problem facing the near-field detection of air pulse laser.In order to solve the problem that pulsed laser detection is susceptible to backscattering interference in cloud environment,a laser transmission model in cloud environment is established.Aiming at the problem that the target echo and backscatter echo superposition are difficult to separate at a certain distance,a waveform separation method based on wavelet transform is proposed.By using the Beer Lambert's law,the backscattering algorithm is applied to the pulsed laser echo by establishing the backscattering waveform eigenfunction and the target echo Gaussian fitting function,removing backscattering algorithm for pulsed laser echo,solved the problem of target signal discrimination when backscattered echo and target echo are superimposed.The simulation results show that the method achieves the effect of sharpening the echo signal waveform and identifying the target echo,which can effectively improve the target recognition probability and anti-interference performance.

关 键 词：近场探测 脉冲激光 MIE散射 小波变换 波形分离 

分 类 号：TN249[电子电信—物理电子学]