基于KPCA的探地雷达自适应杂波抑制算法研究  

Research on KPCA-based adaptive clutter rejection algorithm for GPR

作　　者：王萧[1] 

机构地区：[1]中国海洋大学信息科学与工程学院电子工程系,山东青岛266100

出　　处：《现代电子技术》2014年第11期31-33,36,共4页Modern Electronics Technique

基　　金：863项目:水下集速光;激光差频扫描三维视觉技术研究(2010AA09Z205)

摘　　要：探地雷达是地雷探测的有效技术之一,如何尽可能滤除雷达接收信号中的杂波成分而又不失目标信息是完成目标检测的关键。为增强目标信息,提高信噪比,提出将主成分分析子空间投影和基于RLS自适应滤波技术相结合的方法,通过VUB实测数据进行实验,结果证明了该方法的有效性。The ground penetrating radar（GPR）is an effective one to detect the shallow land mines. How to filter the clut-ter in target echo signal and reserve the useful information as much as possible is the key to achieve target detection. In order to enhance the target signal and improve SNR（signal to noise ratio）,an adaptive clutter rejection method based on kernel princi-pal component analysis（KPCA）algorithm is presented in this paper. The experimental results based on VUB measured data in-dicate that the proposed method has a better clutter rejection effect.

关 键 词：探地雷达 主成分分析 自适应滤波 

分 类 号：TN929.53[电子电信—通信与信息系统]