Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (2): 633-644.doi: 10.13278/j.cnki.jjuese.201702307

Previous Articles    

Characteristics of the Signal Polarization Field in Array Type Ground Penetrating Radar

Xi Jianjun1,2, Zeng Zhaofa1, Huang Ling3, Cui Dandan2, Wang Zhejiang1   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Heibei Electric Power Design & Research Institute, Shijiazhuang 050031, China;
    3. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2016-12-19 Online:2017-03-26 Published:2017-03-26
  • Supported by:
    Supported by the National Natural Science Foundation of China (40774055, 41174097, 41574097) and the Specialized Research Fund for the Doctoral Program of Higher Education of China (20130061110060)

Abstract: With the trend of the detection method using array observation, the GPR(ground penetrating radar) system takes the response characteristic analysis for the isomorphic multisource concurrent underground target as the basis and precondition for the system development and data processing. The multisource concurrent signal and target echo signal of the array antenna with complicated polarization characteristics, contain more response message about the target characteristics. Aiming at the plane wave like MIMO(multiple-input multiple-output) GPR system, this paper analyzes the response characteristics of the target in polarization plane wave illumination and the morphological characteristics of the model underground target through its multi-polarization signal. The surface projection distribution of the target is acquired through the integration along time axis of the data received by the array antenna, and the targets of the transmit-receive array antenna in 1-D and 2-D distribution are detected and analyzed by the time domain finite-difference forward modeling method. The research results that multi-polarization integrated characteristic analysis can improve effectively the consistency of the target detection, promote the signal to noise ratio (SNR) of the target response signal, abate the influence from the antenna pattern and target scattering cross-section blink upon the data section, and decrease the difficulty in data processing and interpretation.

Key words: array antenna, MIMO GPR, stability, signal to noise ratio, scattering cross-section blink

CLC Number: 

  • P631.3
[1] 周奇才, 崔涛, 叶琛. 盾构施工超前探测与GPR天线阵技术应用[J]. 建筑机械化, 2006, 27(9):40-42. Zhou Qicai, Cui Tao, Ye Chen. Antecedent Exploration of Shield Machine & Application of GPR Antenna Array[J]. Construction Mechanization, 2006, 27(9):40-42.
[2] Sato M, Feng X. GPR Migration Algorithm for Land-mines Buried in Inhomogeneous Soil[J]. Antennas and Propagation Society International Symposium, 2005, 1B:206-209.
[3] Fishler E, Haimovich A, Blum R, et al. Spatial Diver-sity in Radar-Models and Detection Performance[J]. IEEE Trans Signal Proces, 2006, 54(3):823-838.
[4] Haimovich A M, Blum R S, Cimini L J. MIMO Radar with Widely Separated Antennas[J]. Signal Processing Magazine IEEE, 2008, 25(1):116-129.
[5] 曲昕馨,李桐林,王飞. 基于数字图像分割法的跨孔雷达走时层析成像[J]. 吉林大学学报(地球科学版),2014, 43(4):1340-1347. Qu Xinxin, Li Tonglin, Wang Fei. Cross-Hole Radar Travel-Time Tomography Based on Digital Image Segmentation[J]. Journal of Jilin University (Earth Science Edition), 2014, 43(4):1340-1347.
[6] 朱自强,彭凌星,鲁光银. 基于互相关函数对钻孔雷达层析成像的改进[J]. 吉林大学学报(地球科学版),2014, 43(2):668-674. Zhu Ziqiang, Peng Lingxing, Lu Guangyin. Improved Borehole-GPR Tomography Based on Cross-Correlation[J]. Journal of Jilin University (Earth Science Edition), 2014, 43(2):668-674.
[7] 冉利民,刘四新,李玉喜,等. 影响跨孔雷达层析成像效果的几个因素[J]. 吉林大学学报(地球科学版),2013, 43(5):1672-1680. Ran Limin, Liu Sixin, Li Yuxi, et al. Several Factors Affecting Cross-Hole Radar Tomography[J]. Journal of Jilin University (Earth Science Edition), 2013, 43(5):1672-1680.
[8] Zeng Zhaofa,Li Jing,Huang Ling,et al. Improving Target Detection Accuracy Based on Multipolarization MIMO GPR[J]. IEEE Transactions on Geosciences and Remote Sensing, 2015, 53(1):15-24.
[9] Xu Xiaoyin, Miller E L, Sower G. A Statistical Approach to Multichannel Blind Signal Detection for Ground Penetrating Radar Arrays[C]//Sensor Array and Multichannel Signal Processing Workshop.[S. l.]:IEEE, 2000:449-453.
[10] Xu X, Peng S, Xia Y, et al. The Development of a Multi-Channel GPR System for Roadbed Damage Detection[J]. Microelectronics Journal, 2014, 45(11):1542-1555.
[11] Xu Xiaoyin, Miller E L, Rappaport C M, et al. Statistical Method to Detect Subsurface Objects Using Array Ground-Penetrating Radar Data[J]. Geoscience and Remote Sensing, 2002, 40(4):963-976.
[12] Sato M, Fang Guangyou, Zeng Zhaofa. Landmine Detection by a Broadband GPR System[C]//Geoscience and Remote Sensing Symposium.[S. l.]:IEEE, 2003:758-760.
[13] Feng Xuan, Sato M, Zhang Yan,et al. CMP Antenna Array GPR and Signal-to-Clutter Ratio Improvement[J]. Geoscience and Remote Sensing Letters, 2009, 6(1):23-27.
[14] Soliman M, Wu Z. Design. Simulation and Implemen-tation of UWB Antenna Array and It's Application in GPR Systems[C]//The Second European Conference on Antennas and Propagation.[S. l.]:IET, 2007:1-5.
[15] Savelyev T, Yarovoy A, Ligthart L. Experimental Evaluation of an Array GPR for Landmine Detection[C]//Microwave Conference.[S. l.]:IEEE, 2007:1499-1502.
[16] Gao H, Wang J, Jiang C, et al. Antenna Allocation in MIMO Radar with Widely Separated Antennas for Multi-Target Detection[J]. Sensors, 2014, 14(11):20165-20187.
[17] Zhuge X, Savelyev T G, Yarovoy A G, et al. Sub-surface Imaging with UWB Linear Array:Evaluation of Antenna Step and Array Aperture[C]//2007 IEEE International Conference on Ultra-Wideband.[S. l.]:IEEE, 2007:66-70.
[18] Yarovoy A G, Savelyev T G, Aubry P J, et al. UWB Array-Based Sensor for Near-Field Imaging[J]. 2007, 55(6):1288-1295.
[19] Paglieroni D W, Pechard C T, Beer N R. Change Detection in Constellations of Buried Objects Extracted from Ground-Penetrating Radar Data[J]. Geoscience & Remote Sensing IEEE Transactions on, 2015, 53(5):2426-2439.
[20] Gader P, Keller J M, Frigui H, et al. Landmine Detection Using Fuzzy Sets with GPR Images[C]//Fuzzy Systems Proceedings, IEEE World Congress on Computational Intelligence.[S. l.]:IEEE, 1998:232-236.
[21] Das U, Boer H J, Van Ardenne A. Phased Array Technology for GPR Antenna Design for Near Subsurface Exploration[C]//Proceedings of the 2nd International Workshop on Advanced Ground Penetrating Radar.[S. l.]:IEEE, 2003:30-35.
[22] Maksimovitch Y, Mikhnev V, Vainikainen P, et al. UWB Antenna Array Development for GPR Applications[C]//6th International Conference on Antenna Theory and Techniques.[S. l.]:IEEE, 2007:348-350.
[23] Daniels D J, Brooks D, Dittmer J, et al. Wide Swathe Multi-Channel GPR Systems for Mine Detection[C]//RADAR 2002.[S. l.]:IET, 2002:210-216.
[24] Yarovoy A, Savelyev T, Zhuge X, et al. Performance of UWB Array-Based Radar Sensor in a Multi-Sensor Vehicle-Based Suit for Landmine Detection[C]//Proceedings of the 5th European Radar Conference.[S. l.]:IEEE, 2008:288-291.
[25] Takeuchi T, Uematsu Y, Saito H, et al. Measure-ment of Survivor Location for Rescue Radar System by Using Two Dimensional Array Antenna[C]//2008 IEEE International Workshop on Safety, Security and Rescue Robotics.[S. l.]:IEEE, 2008:1-6.
[1] Zhang Shuliang, Li Yan, Wang Xia, Li Bin, Lü Fang. Outdoor Observation Evidence of the Meta-Instability State [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(2): 603-609.
[2] Ma Jianquan, Wang Nianqin, Zhang Xinshe. Analysis on Slope Stability Based on Local Factor of Safety [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(2): 533-540.
[3] Shang Yanjun, Yang Zhifa, Li Lihui, Li Tianbin, He Wantong. Study of the Engineering Geological Conditions and Rock Mass Stability of Heidong Large Ancient Underground Caverns [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(1): 214-224.
[4] Lan Kai, Liu Mingguo, Chao Wenxue. Determination of Collapse Pressure for Deviated Wellbore in Transversely Isotropic Water-Sensitive Formation [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(1): 198-206.
[5] Zhou Hongfu, Wang Chunshan, Nie Dexin. Influence of Deformation Modulus of Fault Rock Masses on Dam Foundation Stability [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(4): 1254-1259.
[6] Wang Ke, Wang Changming, Wang Bin, Yao Kang, Wang Tianzuo. Comparative Analysis on Slope Stability Based on Morgenstern-Price Method and Strength Reduction Method [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3): 902-907.
[7] Zhi Momo,Shang Yuequan,Xu Xinghua. Stability Analysis of Gravelly Soil Landslide Using Multiple Properties Regression Model with One Variable [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3): 883-890.
[8] Yan Zhixin,Ma Guozhe,Long Zhe,Duan Jian,Ren Zhihua,Peng Ningbo,Liu Zizhen. Quantitatively Study on Regional Tectonic Stability Evaluation at Nappe Boundary Zones in Northeast Margin of Qinghai-Tibet Plateau: Longmenshan Nappe as an Example [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(2): 484-493.
[9] Wang Jiliang,Yang Jing,Li Huizhong, Huang Xiaoquan, Liu Chongping,Bai Wei,Hao Wenzhong, Zhu Yongsheng. Stability of Slope at Left Abutment of Wudongde Hydropower Station [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(2): 528-536.
[10] Nian Tingkai,Zhang Keli,Liu Hongshuai,Xu Haiyang. Stability and Failure Mechanism of ThreeDimensional Slope Using Strength Reduction Method [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(1): 178-185.
[11] Zhang Zhi-hou,Wu Le-uan. Correlation Coefficient Method for Downward Continuation of Potential Fields [J]. Journal of Jilin University(Earth Science Edition), 2012, 42(6): 1912-1919.
[12] HE Yu-qiong, XU Ze-min, WANG Zhi-qi, ZHANG Yong. Application of Landslide Rainfall Threshold Model [J]. J4, 2012, 42(4): 1112-1118.
[13] SHEN Shi-wei, NAI Lei, XU Yan. Two-Stage Fuzzy Comprehensive Evaluation for Rainfall Influence on Slope Stability Under Different Weight Value [J]. J4, 2012, 42(3): 777-784.
[14] DONG Lie-qan, LI Zhen-chun, LIU Lei, LI Zhi-na, SANG Yun-yun. A Method of Curvelet Threshold Denoising Based on Empirical Mode Decomposition [J]. J4, 2012, 42(3): 838-844.
[15] QI Gn, YANG Guo-xing, LI Bing. Patterns and Mechanisms of Deformation and Failure and Strengthening |Countermeasures of the Guge Kingdom Ruins Caverns in Tibet [J]. J4, 2011, 41(5): 1494-1503.
Full text



No Suggested Reading articles found!