摘要
在穿墙雷达成像中,杂波对临近墙体目标的成像和检测造成严重的干扰。基于统计信号处理的杂波抑制算法近年来广泛应用于消除背景杂波,但这些算法带来的门限确定问题使其在实际应用中性能下降。考虑到实际应用环境的复杂性,提出一种有效的两阶段杂波抑制算法,该算法首先在SVD的基础上提出一种新的方法来确定奇异值的门限以抑制强杂波,然后对第一阶段的成像结果进行基于PCA的图像增强处理,抑制弱杂波和系统噪声,进一步突显目标信息。实验结果证明了提出的两阶段杂波抑制算法具有可行性,能够实现对临近墙体微弱目标的精确成像。
In through-wall-radar imaging,clutter makes serious affect in the imaging and detection of the targets behind the wall.Recently,clutter suppression techniques based on statistical signal processing has been applied into remove the background clutter.But the performances of these techniques degrade in the practical application,due to requiring a subj ective threshold value.Considering the complexity of the practical environment,this paper proposes an efficient two-stage clutter suppression method.A new method to search the threshold on the basis of SVD is firstly proposed to suppress the strong clutter.Then image enhancement based on PCA is applied to the output of the first stage to remove weak clutter and noise and high-light the targets.Experiment results demonstrate that the proposed method is effective and can realize accurate ima-ging of the weak targets behind the wall.
出处
《雷达科学与技术》
2014年第1期51-57,共7页
Radar Science and Technology
基金
国家自然科学基金(No.60802063)
四川省青年科学基金(No.2011JQ0024)
关键词
穿墙雷达成像(TWRI)
杂波抑制
统计信号处理
图像增强
through-wall-radar imaging（TWRI）
clutter reduction
statistical signal processing
image enhancement
