摘要
阐述了两种基于数学方法的提高逆合成孔径激光雷达信噪比的方法,分别为固有值分解降噪法和奇异值分解降噪法。二者都是通过将回波信号在互成正交关系的纯信号空间和噪声空间进行投影,将原始综合信号分解成纯信号和噪声两部分,进而提取有用的回波信息。区别是二者对原始信号分解的方法不同。采用MATLAB软件对两种分解方法分别进行了仿真,并将结果作了对比和分析,指出了两种降噪法各自的优势和适用场合。
Two kinds of Mathematical Methods was given, which can improve SNR of ISAIL.They are called as Ei-gen-Value Decomposition and Singular-Value Decomposition.Both of them are used to decompose the original complex signal into two parts ：original pure signal and noise signal,through projectiving in orthogonality relation space,so use-ful echo information can be extracted. The difference between them is the diversity of decomposition method.Two de-composition methods are simulated by using MATLAB and the results of them are compared;the respective strengths and the application of occasions of those two noise reduction methods are figured out.
出处
《长春理工大学学报（自然科学版）》
2013年第5期41-44,共4页
Journal of Changchun University of Science and Technology(Natural Science Edition)
关键词
逆合成孔径激光成像雷达
成像质量
信噪比
正交分解
Inverse synthetic aperture imaging ladar （ISAIL）
imaging quality
SNR
orthogonal decomposition.
