Performance Analysis of Convolution Enhancement of CEA Operator for Underground Geomagnetic Matching

WANG Jinhua; ZHANG Bo; GUO Liwen; LIU Shuming; ZHANG Hengjia

doi:10.13203/j.whugis20200356

Volume 47 Issue 9

Sep. 2022

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Geomatics and Information Science of Wuhan University > 2022 > 47(9): 1422-1431. > DOI: 10.13203/j.whugis20200356

WANG Jinhua, ZHANG Bo, GUO Liwen, LIU Shuming, ZHANG Hengjia. Performance Analysis of Convolution Enhancement of CEA Operator for Underground Geomagnetic Matching[J]. Geomatics and Information Science of Wuhan University, 2022, 47(9): 1422-1431. DOI: 10.13203/j.whugis20200356

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Performance Analysis of Convolution Enhancement of CEA Operator for Underground Geomagnetic Matching

1.
School of Mines, East China University of Technology, Tangshan 063210, China
2.
Aerial Photogrammetry and Remote Sensing Co.Ltd, Xi'an 710199, China

Funds:

The National Natural Science Foundation of China 51374089

the Natural Science Fund of Hebei Province E2018209345

the Doctoral Candidate Innovation Project of Hebei Province CXZZBS2017123

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Author Bio:
WANG Jinhua, PhD, professor, specializes in underground geomagnetic positioning. E-mail: jinhua66688@126.com
Corresponding author:
GUO Liwen, PhD, professor. E-mail: guoliwen64@163.com
Received Date: September 20, 2020
Available Online: September 19, 2022
Published Date: September 04, 2022

Graphical Abstract

Abstract

Abstract

Obiectives Underground geomagnetic positioning is a new method for emergency refuge and rescue. Its geomagnetic matching probability and accuracy will be affected by the richness and stability of the matching area. There is a problem of low probability of geomagnetic matching in some areas where the geomagnetic space changes gently.
Methods A convolution enhancement operator of the underground is constructed, named convolution enhancement algorithms(CEA), which is used to convolution enhancement processing of geomagnetic data in underground matching area and geomagnetic vector of the target moving track, so as to remove the noise of measured geomagnetic data and enhance the richness of geomagnetic information. CEA operator is a kind of convolution sharpening of geomagnetic features with column quantization, is the modification of Laplace, High Pass and Sobel operators of image convolution, which is suitable for underground strip area. The simulation test of mean-square-error algorithm(MSD) geomagnetic matching before and after the convolution of CEA operator is carried out, which data is the geomagnetic data of 4 tunnels in a gold mine.
Results and Conclusions The test results show that the statistical parameters of geomagnetic data fluctuate obviously after convolution by three CEA operators. The variation of geomagnetic data features before and after convolution by the High Pass operator is small, the variation of geomagnetic standard deviation and geomagnetic roughness is small, and the correlation coefficient sometimes even weakens. The information entropy of geomagnetic data before and after convolution by the Sobel oper‍ator is increased, which cannot keep the consistency of geomagnetic map trend, appears alienation. The Laplace operator has obvious enhance effect, which keeps the change of the original geomagnetic map, increases the difference degree of the data and reduces their correlation. Especially in the matching test of 600 ‍nT noise, the convolution processing of Laplace operator can reduce the impact of noise on geomagnetic positioning disturbance, improve the probability and accuracy of geomagnetic matching positioning, and show strong robustness, which is suitable for data preprocessing model of underground geomagnetic matching.
- underground geomagnetic positioning,
- Laplace convolution,
- convolution enhancement,
- noise disturbance

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[1]	赵捍东, 李志鹏, 王芳. 基于惯性/地磁的弹体组合测姿方法[J]. 探测与控制学报, 2016, 38(3): 47-51 https://www.cnki.com.cn/Article/CJFDTOTAL-XDYX201603010.htm Zhao Handong, Li Zhipeng, Wang Fang. Projectile Attitude Estimation Based on Inertial & Magneto Integrated Measurement[J]. Journal of Detection & Control, 2016, 38(3): 47-51 https://www.cnki.com.cn/Article/CJFDTOTAL-XDYX201603010.htm
[2]	靳宇航, 王海涌, 刘涛, 等. 一种导弹捷联惯导/地磁/雷达高度表组合导航方法[J]. 导航与控制, 2018, 17(6): 54-60 doi: 10.3969/j.issn.1674-5558.2018.06.009 Jin Yuhang, Wang Haiyong, Liu Tao, et al. Strapdown Inertial/Geomagnetic/Radar Altimeter Integrated Navigation Method for Missile[J]. Navigation and Control, 2018, 17(6): 54-60 doi: 10.3969/j.issn.1674-5558.2018.06.009
[3]	刘颖, 曹聚量, 吴美平. 无人机地磁辅助定位及组合导航技术研究[M]. 北京: 国防工业出版社, 2016 Liu Ying, Cao Juliang, Wu Meiping. Research on Geomagnetic Assisted Positioning and Integrated Navigation Technology of UAV[M]. Beijing: National Defense Industry Press, 2016
[4]	赵建虎, 王胜平, 王爱学. 基于地磁共生矩阵的水下地磁导航适配区选择[J]. 武汉大学学报·信息科学版, 2011, 36(4): 446-449 http://ch.whu.edu.cn/article/id/521 Zhao Jianhu, Wang Shengping, Wang Aixue. Study on the Selection of the Geomagnetic Adaptable Matching Area Based on the Geomagnetic Co-Occurrence Matrix[J]. Geomatics and Information Science of Wuhan University, 2011, 36(4): 446-449 http://ch.whu.edu.cn/article/id/521
[5]	余秋星. 一种基于地磁强度特征的室内定位方法[J]. 中国新通信, 2014, 16(23): 19-21 doi: 10.3969/j.issn.1673-4866.2014.23.016 Yu Qiuxing. Indoor Location Method Based on the Geo-Magnetism[J]. China New Telecommunications, 2014, 16(23): 19-21 doi: 10.3969/j.issn.1673-4866.2014.23.016
[6]	李思民, 蔡成林, 王亚娜, 等. 基于地磁指纹和PDR融合的手机室内定位系统[J]. 传感技术学报, 2018, 31(1): 36-42 doi: 10.3969/j.issn.1004-1699.2018.01.007 Li Simin, Cai Chenglin, Wang Yana, et al. A Fusion Method for PDR and Magnetic Fingerprinting Based Indoor Localization on Smartphone[J]. Chinese Journal of Sensors and Actuators, 2018, 31 (1): 36-42 doi: 10.3969/j.issn.1004-1699.2018.01.007
[7]	黄鹤, 仇凯悦, 李维, 等. 基于粒子滤波联合算法的地磁室内定位[J]. 西南交通大学学报, 2019, 54(3): 604-610 https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT201903021.htm Huang He, Qiu Kaiyue, Li Wei, et al. Indoor Geomagnetic Positioning Based on Joint Algorithm of Particle Filter[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 604-610 https://www.cnki.com.cn/Article/CJFDTOTAL-XNJT201903021.htm
[8]	马同金. 一种中国专利种类模型玩具: CN109011636A[P]. 2018-12-18 Ma Tongjin. Chinese Patent Type Model Toy: CN109011636A[P]. 2018-12-18
[9]	Akai N, Ozaki K. Gaussian Processes for Magnetic Map-Based Localization in Large–Scale Indoor Environment[C]// Intelligent Robots and Systems, Hamburg, Germany, 2015
[10]	康瑞清. 建筑物内复杂环境下的地磁场定位导航研究[D]. 北京: 北京科技大学, 2016 Kang Ruiqing. Interior Buildings Localization and Navigation Based on Complex Background Magnetic Fields[D]. Beijing: University of Science and Technology Beijing, 2016
[11]	郑梦含. 基于地磁敏感度的室内定位算法的研究[D]. 抚州: 东华理工大学, 2017 Zheng Menghan. Research on Sensitivity-Based Algorithm for Indoor Geomagnetic Localization[D]. Fuzhou: East China University of Technology, 2017
[12]	蔡成林, 曹振强, 张炘, 等. 室内地磁基准图构建的优化算法研究[J]. 大地测量与地球动力学, 2017, 37(6): 647-650 https://www.cnki.com.cn/Article/CJFDTOTAL-DKXB201706019.htm Cai Chenglin, Cao Zhenqiang, Zhang Xin, et al. A Study for Optimizing the Indoor Geomagnetic Reference Map[J]. Journal of Geodesy and Geodynamics, 2017, 37(6): 647-650 https://www.cnki.com.cn/Article/CJFDTOTAL-DKXB201706019.htm
[13]	汪金花, 郭云飞, 张博, 等. 井下小区域地磁数值的时域变化与波动分析[J]. 云南大学学报(自然科学版), 2018, 40(3): 483-490 https://www.cnki.com.cn/Article/CJFDTOTAL-YNDZ201803011.htm Wang Jinhua, Guo Yunfei, Zhang Bo, et al. A Fluctuation Analysis in the Time Domain to the Geomagnetic Values in the Regional Underground[J]. Journal of Yunnan University (Natural Sciences Edition), 2018, 40(3): 483-490 https://www.cnki.com.cn/Article/CJFDTOTAL-YNDZ201803011.htm
[14]	尹刚, 张英堂, 石志勇, 等. 基于磁异常反演的磁航向误差实时补偿方法[J]. 武汉大学学报·信息科学版, 2016, 41 (7): 978-982 doi: 10.13203/j.whugis20140260 Yin Gang, Zhang Yingtang, Shi Zhiyong, et al. RealTime Compensation Method of Magnetic Heading Perturbations Based on Magnetic Anomaly Inversion [J]. Geomatics and Information Science of Wuhan University, 2016, 41(7): 978-982 doi: 10.13203/j.whugis20140260
[15]	喻佳宝. 基于智能手机的室内地磁定位方法研究[D]. 深圳: 深圳大学, 2017 Yu Jiabao. The Method Study of Geomagnetic Indoor Localization on Smartphone[D]. Shenzhen: Shenzhen University, 2017
[16]	谢凡, 滕云田, 胡星星, 等. 地磁台站的城市轨道交通干扰的小波抑制方法研究: 以天津轨道交通干扰为例[J]. 地球物理学报, 2011, 54 (10): 2698-2707 doi: 10.3969/j.issn.0001-5733.2011.10.027 Xie Fan, Teng Yuntian, Hu Xingxing, et al. Suppression of Magnetic Perturbation Caused by Urban Railway to Geomagnetic Observations Using the Wavelet Method: A Case Study of Tianjin Subway [J]. Chinese Journal of Geophysics, 2011, 54(10): 2698-2707 doi: 10.3969/j.issn.0001-5733.2011.10.027
[17]	种洋, 柴洪洲, 苏明晓, 等. 基于量测残差估计残差协方差的RAE-PEKF匹配算法[J]. 武汉大学学报·信息科学版, 2020, 45(2): 179-188 doi: 10.13203/j.whugis20180264 Chong Yang, Chai Hongzhou, Su Mingxiao, et al. RAE-PEKF Matching Algorithm Based on Measurement Residuals to Estimate Residuals Covariance [J]. Geomatics and Information Science of Wuhan University, 2020, 45(2): 179-188 doi: 10.13203/j.whugis20180264
[18]	汪金花, 郭云飞, 郭立稳, 等. 基于GRPM井下定位的MPMD匹配算法的试验研究[J]. 煤炭学报, 2019, 44(4): 1274-1282 https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB201904035.htm Wang Jinhua, Guo Yunfei, Guo Liwen, et al. Experimental Research of MPMD Matching Algorithm Based on the GRPM Underground Positioning[J]. Journal of China Coal Society, 2019, 44(4): 1274-1282 https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB201904035.htm
[19]	Wang Jinhua, Guo Yunfei, Jia Yuna, et al. Modeling and Application of the Underground Emergency Hedging System Based on Internet of Things Technology[J]. IEEE Access, 2019(7): 63321-63335
[20]	刘晓刚, 徐婧林, 张素琴, 等. 地磁日变数据确定中顾及纬度和经度方向影响的双因子定权方法[J]. 武汉大学学报·信息科学版, 2020, 45(10): 1547-1554 doi: 10.13203/j.whugis20180454 Liu Xiaogang, Xu Jinglin, Zhang Suqin, et al. Bifactor Weight Determination Method Considering the Influence of Latitude and Longitude in the Calculation of Diurnal Variation of Geomagnetic Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(10): 1547-1554 doi: 10.13203/j.whugis20180454

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Performance Analysis of Convolution Enhancement of CEA Operator for Underground Geomagnetic Matching

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