| 基于m伪随机序列的电磁法抗噪能力分析 |
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| 引用本文： | 王显祥,底青云,王妙月,邓居智.基于m伪随机序列的电磁法抗噪能力分析[J].地球物理学报,2016,59(5):1861-1874. |
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| 作者姓名： | 王显祥 底青云 王妙月 邓居智 |
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| 作者单位： | 1. 东华理工大学放射性地质与勘探技术国防重点学科实验室, 南昌 330013;2. 中国科学院地质与地球物理研究所 中国科学院页岩气与地质工程重点实验室, 北京 100029 |
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| 基金项目： | 国家重大科研装备研制项目"深部资源探测核心装备研发"(ZDYZ2012-1)-05子项目"多通道大功率电法勘探仪",国防科工委科研项目(科工技[2013]969号)联合资助. |
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| 摘 要： | 电磁法在金属矿、油气资源等矿产的勘探中发挥重要作用,同时电磁干扰也越来越强,在强干扰区利用传统的抗噪方法很难再获取高信噪比信号.鉴于伪随机序列的抗噪能力,近年来国内正在掀起伪随机编码仪研制的高潮.伪随机序列的抗干扰能力与从伪随机响应中提取方法息息相关,本文介绍了两种最常用的提取大地脉冲信号的方法:第一种通过将时间域信号转到频率域,对电流归一化处理后,再转回时间域求取大地脉冲响应;第二种直接在时间域解Wiener-Hopf方程求取.研究表明,在无干扰情况下两种提取方法都可获得高精度大地脉冲信号.随后在具有噪声干扰的情况下,对两种方法提取结果的精度进行了对比分析,表明方法2的抗噪声能力明显优于方法1的,对造成这种状况的原因进行了解析.最后研究了提高伪随机序列抗噪能力的方法,主要包括提高伪随机序列阶数、针对不同噪音使用不同的编码方式、改变循环次数的方法等,以达到抑制噪声的目的.
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| 关 键 词： | 伪随机序列 电磁法 抗噪分析 |
| 收稿时间： | 2015-05-16 |
A study on the noise immunity of electromagnetic methods based on m pseudo-random sequence |
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| WANG Xian-Xiang,DI Qing-Yun,WANG Miao-Yue,DENG Ju-Zhi.A study on the noise immunity of electromagnetic methods based on m pseudo-random sequence[J].Chinese Journal of Geophysics,2016,59(5):1861-1874. |
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| Authors: | WANG Xian-Xiang DI Qing-Yun WANG Miao-Yue DENG Ju-Zhi |
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| Institution: | 1. Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China Institute of Technology, Nanchang 330013, China;2. Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China |
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| Abstract: | Electromagnetic methods play an important role in the exploration of metal ore mineral, oil and gas resources. It is very difficult to obtain a high signal to noise ratio with increasingly strong electromagnetic noise using conventional anti-noise methods. In recent years, the pseudo random sequence attracts a lot of attention because of its anti-noise performance. This paper describes two common methods used to extract the impulse response from the pseudo-random sequence response. Studies have shown that the two methods are capable to get high-precision impulse response without noise. The extraction accuracies of the results using the two methods were compared with data contained in the noise, that shows that the results of method 2 is better than 1, then the reasons for this situation was analuzed. Finally, a study is made to improve the ability of the anti- pseudo-random sequence of the methods, including to improve the order of the pseudo-random sequence, use a different encoding, change the number of cycles in order to achieve the purpose of noise suppression. |
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| Keywords: | Pseudo random sequence Electromagnetic method Anti-noise analysis |
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