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| Effective information extraction from high-order pseudo-random electromagnetic signals in urban environments:A case study of a rail transit engineering area in Jinan City, China |
MA Zhen-Bo1( ), ZHOU Chang-Yu2, RUAN Jin-Ping3, ZHANG Wen-Yan4 |
1. Henan Academy of Geology, Zhengzhou 450016, China
2. School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518000, China
3. Institute of Geotechnical and Underground Engineering, Shandong University, Jinan 250000, China
4. Shandong Research Institute of Coal Geological Planning and Prospecting, Jinan 250000, China |
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Abstract The spectra of high-order pseudo-random electromagnetic signals encompass all the frequencies required for exploration engineering, it has the characteristics of enhancing work efficiency and strong anti-interference capability, and has been applied in electromagnetic exploration in urban environments. This study extracted effective information from high-order pseudo-random signals in the electromagnetic survey conducted in areas with strong powerline interference within the special exploration area of the Phase I engineering of the Jinan Urban Rail Transit Line 8. To efficiently extract high-quality effective information, an envelope assessment algorithm was combined with high-order pseudo-random signals. Specifically, the actual signal interference was accurately estimated by analyzing the spectral envelope values. This allows for screening received signals, thus further mitigating the impacts of powerline interference and its harmonics. As a result, more effective frequency and geoelectric information were obtained, providing abundant effective electromagnetic data for subsequent inversion and interpretation. The novel method serves as a technique for effective information extraction for future electromagnetic sounding in a complex urban environment.
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Received: 15 December 2023
Published: 08 January 2025
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Spectral diagram of background noise data and local spectrum diagram of power frequency noise and its higher harmonics in urban environment
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Waveform(a) and spectrum(b) of pseudo-random signal with 13 2n main frequencies
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Waveform(a) and spectrum(b) of high-order pseudo-random signal with 39 main frequencies
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Workflow of envelope evaluation method
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Waveform(a) and spectrum(b) of measured data
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Comparison of typical indicators of different evaluation methods
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Normalized electric field curves extuated by different evaluation methods
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Actual layout of measuring lines and points
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Waveform(a) and spectrum(b) of measured data at GY3-1720
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Waveform(a) and spectrum(b)、(c) of measured high-order pseudo-random signal with 39 main frequencies
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| 测点数据编号 | 提取前有效
频率数 | 提取后有效
频率数 | 提升比例 | | GY3-1960 | 34 | 81 | 138% | | GY3-2320 | 41 | 106 | 159% | | GY3-1720 | 41 | 55 | 34% |
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Statistical of application results of instance data
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Potential effective frequencies extraction results of GY3-1960
(for ease of observation, original curve and extracted curve correspond to left and right y-axes respectively in this figure and subsequent similar figures)
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Potential effective frequencies extraction results of GY3-2320
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Potential effective frequencies extraction results of GY3-1720
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