激光雷达反遮蔽探测技术研究  

Anti-obscure Detection Technology Based on LADAR

作　　者：黄涛[1,2] 胡以华[1,2] 

机构地区：[1]脉冲功率激光技术国家重点实验室(电子工程学院),合肥230037 [2]安徽省电子制约技术重点实验室,合肥230037

出　　处：《光电工程》2011年第3期46-51,共6页Opto-Electronic Engineering

基　　金：国家自然科学基金(60672154)资助项目

摘　　要：为了探索利用激光雷达探测遮蔽目标,构建了遮蔽目标激光雷达回波模型,取得了遮蔽目标激光雷达回波波形的仿真数据。采用Levenberg-Marguardt算法对回波波形非线性拟合,实现了对回波波形的高斯分解,获取了高斯回波分量的个数、位置、半宽和幅度等参数。通过对各个通道分离子波的时间匹配,得到了各个子目标在不同通道的回波分量,实现了对各目标回波的特征提取。利用K-means算法对回波的特征值进行分类,实现了对不同目标回波的分类。运用本方法进行仿真实验,取得了较为理想的结果。In order to detect obscure targets by the use of LAser Detection and Ranging （LADAR）, we constructed the LADAR echo model of obscure targets and obtained the simulation data of LADAR echo of obscure targets. Levenberg-Marguardt method was used to fit the echo waveforms, which decomposed the waveforms into series of Gaussian components, and obtained the number and the position of the Gaussian components, half-width and amplitude of each Gaussian component. Echo components of sub-target in different channels were obtained by time matching of separated sub-echoes respectively, and the characteristics extraction of various targets has been implemented. Classifying the echo characteristics by using K-means helps to classify various echo components. An anticipated result of simulation is obtained by using this method.

关 键 词：激光雷达 遮蔽目标 波形分解 Levenberg-Marguardt算法 K-MEANS算法 

分 类 号：TN149[电子电信—物理电子学]