地雷及未爆武器给许多国家带来了巨大的经济和社会问题。近年来超宽带探地雷达被广泛用于浅层埋藏的塑性地雷的检测,其中滤除雷达回波信号中的地杂波是完成目标检测、成像与识别的关键。文中通过利用核ICA算法进行研究,给出了一种可以针对多目标数据区域且自动选取独立分量的探地雷达地杂波抑制方法,基于实测数据的实验结果表明了该方法的有效性。

Landmines and unexploded ordnances are causing tremendous problems in a large number of areas throughout the world today.The ultra wideband Ground Penetrating Radar(GPR) is a useful tool for plastic landmine detection.For shallowly buried plastic mine,removing the ground bounce with much more energy than useful signal and with the same arrival time as useful signal is very important to following detection,SAR imaging and target recognition.This paper presents an adaptive ground bounce removal method based on Kernel Independent Component Analysis(KICA) algorithm and adaptive independent components selection.Experimental results based on field-test data show that the proposed method is performing very well.

TN957.52

国家自然科学基金资助项目(项目编号:60325102,60428101)