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    基于解析信号振幅识别磁源体边界的分析解释方法

    Analysis and interpretation of magnetic anomalies based on the analytic signal amplitudes

    • 摘要: 解析信号本质上是一种全通滤波器,由于其不受人为因素干扰,能够较好地反映原始信号包含的信息特征。该方法不仅是对非平稳信号进行分析的有效方法,也是检测信号局部特征的有力工具。本文通过对实信号的解析信号处理得到复信号,由该复信号的振幅,能清晰地刻画信号能量空间分布特征。模型试验表明,解析信号振幅方法减小了常规化极方法在勘探程度较低的地区引起假异常的问题,使地下磁性体与振幅中心位置对应。尤其在低纬度或地形切割较大的地区,该方法更具优势。将该方法应用于老挝爬立山铁矿区实测磁异常的分析,由此圈定了磁铁矿分布位置,并由区内56个钻孔证实该推断的可靠性。

       

      Abstract: The analytic signals are essentially a kind of all-pass filters. Since not suffering from the disturbation by human factors, they may perfectly reflect the information of the original signals. The analytic signal amplitude method is not only an effective method to analyze non-stationary signals, but also a powerful tool to detect the local characteristics of signals. In this paper, the complex signals are received from the real signals by the analytic signals, and the spatial distribution of the signal energy can be depicted from the amplitudes (spectrum) of the complex signals. Model tests indicate that the analytic signal amplitude method may reduce the false anomalies in some low degree of exploration regions, and cause the central locations of the underground magnetic bodyies and spectrums to be identical. This method is especially of more advantages in low-latitude or highly dissected areas. With the aid of this method in the measurement of magnetic anomalies of an iron ore district in Palishan, Laos, we delineated the distribution of the underground magnetite orebodies, and the reliability of the results has been proved by the data from 56 boreholes there.

       

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