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激光脉冲弱小回波信号提取方法研究
引用本文:邵艳明,王爽,王兴,陈宗镁,余跃.激光脉冲弱小回波信号提取方法研究[J].激光与红外,2020,50(3):285-292.
作者姓名:邵艳明  王爽  王兴  陈宗镁  余跃
作者单位:上海航天控制技术研究所,上海201109;中国航天科技集团公司红外探测技术研发中心,上海201109;上海航天控制技术研究所,上海201109;中国航天科技集团公司红外探测技术研发中心,上海201109;上海航天控制技术研究所,上海201109;中国航天科技集团公司红外探测技术研发中心,上海201109;上海航天控制技术研究所,上海201109;中国航天科技集团公司红外探测技术研发中心,上海201109;上海航天控制技术研究所,上海201109;中国航天科技集团公司红外探测技术研发中心,上海201109
摘    要:在激光红外复合制导中,主动激光雷达可以提供探测目标的距离信息,并与红外探测方式实现光电互补,有助于提高复杂战场环境下精确制导的准确率。激光测距时,准确的回波位置检测是确保测距精度的关键。而信噪化是决定精度和作用距离的关键。为了提升脉冲回波信号的信噪比,本文提出了一种结合自相关滤波算法与改进的奇异值分解方法的微弱脉冲提取方法,并分别采用仿真数据和实际采集的脉冲激光回波信号进行去噪实验,实验结果表明,本文所提出的方法能够有效地提升回波信号的信噪比,有助于提高激光测距的精度。

关 键 词:激光测距  回波检测  自相关滤波  奇异值分解

A study on the extraction method of weak echo signal of laser pulse
SHAO Yan-ming,WANG Shuang,WANG Xin,CHEN Zong-mei,YU Yue.A study on the extraction method of weak echo signal of laser pulse[J].Laser & Infrared,2020,50(3):285-292.
Authors:SHAO Yan-ming  WANG Shuang  WANG Xin  CHEN Zong-mei  YU Yue
Affiliation:1.Shanghai Aerospace Control Technology institute,Shanghai 201109,China;2.Infrared Detection Technology Research & Development Center of CASC,Shanghai 201109,China
Abstract:In the laser infrared composite guidance,by combing the active laser radar,which can provide the distance information of the target,and the IR detection method,the photoelectric complementary can be reached,and the guidance accuracy can be effectively improved under complicated battlefield environment.In laser ranging,the accurately detection of laser echo signal is the key factor that guarantees the ranging accuracy.To improve the SNR of the echo signal,a new weak pulse extraction method combining the self-correlation filter and the improved singular value decomposition is proposed,and the denoising experiments are carried out with the simulation data and the actual collected pulse laser echo signal,respectively.The results show the proposed method can effectively improve the SNR of the echo signal,and is useful for improving the accuracy of the laser ranging.
Keywords:laser ranging  echo detection  self-correlation filter  singular value decomposition
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