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引用本文:李家强,卢宝宝,徐小敏,陈金立. 基于LS迭代熵值穿墙雷达墙体杂波抑制[J]. 雷达科学与技术, 2019, 17(3): 251-256.[点击复制]
LI Jiaqiang,LU Baobao,XU Xiaomin,CHEN Jinli. Wall Clutter Suppression of Through-Wall-Radar Based on LS Iterative Entropy Value[J]. Radar Science and Technology, 2019, 17(3): 251-256.[点击复制]
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基于LS迭代熵值穿墙雷达墙体杂波抑制
李家强,卢宝宝,徐小敏,陈金立
1.南京信息工程大学电子与信息工程学院, 江苏南京 210044;2.南京信息工程大学气象灾害预报预警与评估协同创新中心, 江苏南京 210044
摘要:
在穿墙成像雷达中,建筑物前后墙体的回波是杂波抑制的主要问题。此类杂波往往会强于目标信号数个量级,对所需目标的回波信号检测与成像造成严重干扰。针对墙体类强杂波问题,提出了一种基于拉普拉斯平滑迭代处理的墙体强杂波抑制算法。首先对回波信号进行离散化,然后在计算离散信源的概率空间时对概率进行拉普拉斯平滑处理,然后对其进行迭代熵值处理,通过迭代过程,有效地提高信杂比增量。为了验证算法的可靠性,采用时域有限差分法进行实验建模,并对结果进行严谨的分析,算法能够达到预期效果。
关键词:  穿墙雷达  弱信号检测  拉普拉斯平滑  杂波抑制
DOI:DOI:10.3969/j.issn.1672-2337.2019.03.003
分类号:TN957
基金项目:
Wall Clutter Suppression of Through-Wall-Radar Based on LS Iterative Entropy Value
LI Jiaqiang,LU Baobao,XU Xiaomin,CHEN Jinli
1. School of Electronic and Information Engineering, Nanjing University of Information Science and Technology,Nanjing 210044, China;2.2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract:
In the through-wall-radar imaging, the echo of the front and rear walls of the building is the main problem of clutter suppression. Such clutter is often stronger than the target signal of several orders of magnitude, causing serious interference to the detection and imaging of the desired targets echo signal. A strong wall clutter suppression algorithm based on Laplace smoothing iteration is proposed for the wall like strong clutter problem. First, the echo signal is discretized, and the probability is processed by Laplace smoothing to calculate the probability space of the discrete source. Then, the iterative entropy processing is carried out. The increment of the clutter ratio is effectively improved through the iterative process. In order to verify the reliability of the algorithm, the finite difference time domain method is used to model the experiment. The results are rigorously analyzed, and the algorithm can achieve the desired results.
Key words:  through-wall-radar  weak signal detection  Laplace smoothing  clutter suppression

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