计算机科学
混乱的
信号(编程语言)
噪音(视频)
信噪比(成像)
探测理论
混沌(操作系统)
衰减
人工智能
声学
算法
模式识别(心理学)
探测器
电信
物理
光学
图像(数学)
计算机安全
程序设计语言
作者
Cong Li,Zhaofa Zeng,Xiaofeng Yi,Pengyu Wang,Yue Wang,Kaihua Lu,Yong Sun,Baizhou An
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:11: 7959-7967
被引量:1
标识
DOI:10.1109/access.2023.3238118
摘要
When using magnetic resonance sounding (MRS) method for groundwater, the detection accuracy is often affected by electromagnetic noise. The chaos method can achieve signal extraction at a lower signal-to-noise ratio. However, this method has many problems when used to obtain MRS signals. Aiming at the attenuation characteristics of MRS signals, in this paper we propose a pre-segmentation method of MRS signals to improve the accuracy of chaos detection. In addition, a chaotic detection system model suitable for MRS signal recognition was constructed, and a calculation method for center-covered was used to improve the efficiency of determining the chaotic state. Through a large amount of simulation data, we have verified that this method can reliably extract MRS signals with a signal-to-noise ratio (SNR) of -30 dB, which provides technical support for the MRS method to work with a relatively high electromagnetic noise.
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