| 基于尺度变换随机共振的瞬变电磁弱信号检测 |
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| 引用本文： | 王国富,张海如,张法全,叶金才.基于尺度变换随机共振的瞬变电磁弱信号检测[J].地球物理学报,2011,54(7):1928-1934. |
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| 作者姓名： | 王国富 张海如 张法全 叶金才 |
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| 作者单位： | 桂林电子科技大学认知无线电与信息处理教育部重点实验室,桂林 541004 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)项目，国家自然科学基金项目 |
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| 摘 要： | 晚期瞬变电磁信号是大参数、多频率、且各频率分量未知的电磁信号,特别在晚期还是强噪声背景下的微弱信号.随机共振系统可以在极限信噪比的情况下提取微弱信号,但仅适用于小参数、单一频率或频率已知的高频信号的情况,为此,本文提出一种基于尺度变换的随机共振算法用于检测晚期瞬变电磁信号,该方法充分利用了随机共振检测弱信号的优势,通过...
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| 关 键 词： | 随机共振 尺度变换 瞬变电磁 弱信号检测 |
| 收稿时间： | 2010-06-07 |
Scale transformation for detecting transient electromagnetic weak signal of stochastic resonance |
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| WANG Guo-Fu,ZHANG Hai-Ru,ZHANG Fa-Quan,YE Jin-Cai.Scale transformation for detecting transient electromagnetic weak signal of stochastic resonance[J].Chinese Journal of Geophysics,2011,54(7):1928-1934. |
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| Authors: | WANG Guo-Fu ZHANG Hai-Ru ZHANG Fa-Quan YE Jin-Cai |
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| Institution: | Key Laboratory Cognitive Radio and Information Processing of the Ministry of Education, Guilin University of Electronic Technology, Guilin 541004, China |
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| Abstract: | Transient Electromagnetic (TEM) signal is a large-parameter, multi-frequency signal with unknown frequency, which is weak under heavy noise in the late stage. Stochastic resonance (SR) can only be applied to small parameters, low-frequency or the known high-frequency signal detection. To solve this problem, a scale transformation for detecting TEM weak periodic signal of SR method is presented in this paper. The method is benefited from SR for detecting weak signals. The frequency limit of SR is eliminated by introducing scale transformation. The TEM weak signal is detected from heavy noise under the condition of adiabatic approximation. Theoretical analysis and simulation results show that, to deal with the unknown TEM signal mixed with heavy noise, the frequency of input signal is compressed continuously to achieve a suitable frequency for inputting to stochastic resonance system. According to the change of resonance spectral peak value, the unknown TEM frequencies can be obtained from signal with inverse transform algorithm. Compared with traditional methods, the data collection and the acquisition time is reduced ten times. The deep target signal is detected under limit SNR(SNR≤-50 dB). The detection accuracy and investigation depth of the instrument is increased by this method. |
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| Keywords: | Stochastic resonance Scale transformation Transient electromagnetic Weak signal detection |
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