A robust W-MUSIC algorithm for GPR target detection in the presence of noise
A robust W-MUSIC algorithm for GPR target detection in the presence of noise
复制标题
用于在存在噪声的情况下进行 GPR 目标检测的稳健 W-MUSIC 算法
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
P. Shepherd
中科院分区：
文献类型：
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作者：
Wei Jiang;S. Pennock;P. Shepherd
当应用于探地雷达（GPR）时，多信号分类（MUSIC）算法是一种重要的频率估计方法，因为它可以检测到间隔非常近的目标，特别是当一个目标的响应明显低于另一个目标时。然而，MUSIC算法必须以要查找的目标数量为种子，并且无论实际存在的目标数量如何，都将指示目标数量。在噪声水平相对较低的情况下，MUSIC算法倾向于报告假目标的位置，而不是较弱的真实目标响应。本文提出了一种用于抑制假目标的叠加MUSIC技术。研究了一种新的带窗FFT MUSIC （W-MUSIC）算法。人们认为，在适度噪音的存在下，它可以清楚地指示目标，从而阻止音乐的工作。
When applied to ground penetrating radar (GPR), the multiple signal classification (MUSIC) algorithm is an important frequency estimation method as it can detect very closely spaced targets, particularly when one of the target responses is substantially lower than another. The MUSIC algorithm however must be seeded with the number of targets to find and will indicate that number of targets regardless of the number of targets actually present. In the presence of relatively low levels of noise the MUSIC algorithm is prone to reporting the position of false targets in preference to weaker genuine target responses. In this paper a superimposed MUSIC technique is proposed to suppress false targets. A novel windowed FFT MUSIC (W-MUSIC) algorithm is examined using a linear sweep frequency in noise. It is seen to give a clear indication of targets in the presence of modest noise that prevents MUSIC from working.