Thin coal layer thickness estimation using MUSIC algorithm
Thin coal layer thickness estimation using MUSIC algorithm
复制标题
使用 MUSIC 算法估算薄煤层厚度
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
L. P. Roy
中科院分区：
文献类型：
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作者：
Shweta B. Thomas;L. P. Roy
在煤矿开采中，为了保持一定的开采层位，需要测量薄煤层的厚度。在近地表界面探测和厚度测量的岩土工程领域工作的研究人员利用雷达信号处理的最新发展来应对挑战。论述了煤矿运输巷道顶板薄煤层厚度测量对煤矿安全的挑战。给出了步进频率连续波探地雷达(SFCW GPR)信号处理方法，用于测量存在煤页岩和煤页岩粘土界面的薄煤层厚度。我们使用多信号分类(MUSIC)算法来检测不同材料的界面。为了提高分辨率，采用了MUSIC空间平滑处理(SSP)和改进的空间平滑处理(MSSP)。利用合成数据模型、全波模型(FWM)、平面波模型(PWM)和修正的平面波模型(MPWM)进行了厚度测量实验，比较了各种估计算法的有效性。
In coal mining, thickness of thin coal layer is measured for maintaining a defined coal mining horizon. Researchers working in the geotechnical field for detection and thickness measurement of near surface interface address challenges using recent development in radar signal processing. This paper addresses challenge in measuring thickness of thin coal layer left on mine haulage way roof for mine safety. Here, step frequency continuous wave ground penetrating radar (SFCW GPR) signal processing is given for measuring thickness of thin coal layer in presence of interfaces as coal-shale and coal-shale-clay. We use multiple signal classification (MUSIC) algorithm for detecting the interfaces of dissimilar material. In order to improve the resolving power, MUSIC with spatial smoothing process (SSP) and modified spatial smoothing process (MSSP) are applied. Experimental results on thickness measurement using synthetic data models, full wave model (FWM), plane wave model (PWM) and modified plane wave model (MPWM) are demonstrated to compare the effectiveness of estimation algorithms.