A three-dimensional matching localization algorithm based on helix triangular pyramid array

Jiu-bin Zhao , Yuan-xue Liu , Chang-jia Liu , Yue Ling

Journal of Central South University ›› 2021, Vol. 28 ›› Issue (3) : 816 -833.

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Journal of Central South University ›› 2021, Vol. 28 ›› Issue (3) : 816 -833. DOI: 10.1007/s11771-021-4647-4
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A three-dimensional matching localization algorithm based on helix triangular pyramid array

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Abstract

On the eve of the occurrence of geological hazards, part of the rock and soil body begins to burst, rub, and fracture, generating infrasound signals propagating outward. 3D advanced positioning of the landslide has remained unsolved, which is important for disaster prevention. Through the Fourier transform and Hankel transform of the wave equation in cylindrical coordinates, this work established a three-dimensional axisymmetric sound field model based on normal waves, and designed a 4-element helix triangular pyramid array with vertical and horizontal sampling capabilities. Based on this, the three-dimensional matching localization algorithm of infrasound for geological hazards is proposed. Applying the algorithm to the infrasound signal localization of rock and soil layers, it was found that the helix triangular pyramid array can achieve accurate estimation of depth and distance with a smaller number of array elements than the traditional array, and may overcome the azimuth symmetry ambiguity. This study shows the application prospects of this method for predicting geohazards position several hours in advance.

Keywords

geologic hazards / infrasound / helix triangular pyramid array / 3D matchinglocalization algorithm

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Jiu-bin Zhao, Yuan-xue Liu, Chang-jia Liu, Yue Ling. A three-dimensional matching localization algorithm based on helix triangular pyramid array. Journal of Central South University, 2021, 28(3): 816-833 DOI:10.1007/s11771-021-4647-4

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References

[1]

ManconiA, PicozziM, CovielloV, DesantisF, EliaL. Real-time detection, location, and characterization of rockslides using broadband regional seismic networks [J]. Geophysical Research Letters, 2016, 43(13): 6960-6967

[2]

YanY, CuiY-f, GuoJ, HuS, WangZ-a, YinS-yao. Landslide reconstruction using seismic signal characteristics and numerical simulations: Case study of the 2017 “6.24” Xinmo landslide [J]. Engineering Geology, 2020, 270: 105582

[3]

KeanJ W, CoeJ A, CovielloV, SmithJ B, MccoyS, AtrattanoM. Estimating rates of debris flow entrainment from ground vibrations [J]. Geophysical Research Letters, 2015, 42(15): 6365-6372

[4]

WangW M, HaoJ L, YaoZ X. Preliminary result for rupture process of Apr. 20, 2013, Lushan Earthquake, Sichuan, China [J]. Chinese J. Geophys, 2013, 56(4): 1412-1417(in Chinese)

[5]

ShangX-y, TkalcicH. Point-source inversion of small and moderate earthquakes from P-wave polarities and P/S amplitude ratios within a hierarchical Bayesian framework: Implications for the geysers earthquakes [J]. Journal of Geophysical Research: Solid Earth, 2020, 125(2): 1-64

[6]

LiuD-l, LengX-p, WeiF-q, ZhangS-j, HongYong. Visualized localization and tracking of debris flow movement based on infrasound monitoring [J]. Landslides, 2018, 15879-893

[7]

MarchettiE, WalterF, BarfucciG, GencoR, WennerM, RipepeM, Mcardell, PriceC. Infrasound array analysis of debris flow activity and implication for early warning [J]. Journal of Geophysical Research: Earth Surface, 2019, 124: 567-587

[8]

CuiW-j, TengP-x, HanB-kun. Characteristics of infrasound signals just before landslide [J]. Technical Acoustics, 2018, 37(2): 157-162(in Chinese)

[9]

LinQ-b, CaoP, LiK-h, CaoR-h, ZhouK-p, DengH-wei. Experimental study on acoustic emission characteristics of jointed rock mass by double disc cutter [J]. Journal of Central South University, 2018, 25(2): 357-367

[10]

ChenX, TangC-a, YuJ, ZhouJ-f, CaiY-yan. Experimental investigation on deformation characteristics and permeability evolution of rock under confining pressure unloading conditions [J]. Journal of Central South University, 2018, 25(8): 1987-2001

[11]

JIA Bing, WEI Jian-ping, WEN Zhi-hui, WANG Yun-gang, JIA Lin-xing. Study on prediction of coal sample damage by infrasound [J]. Progress in Geophysics, 2017(4): 357–362. DOI: https://doi.org/10.6038/pg20170448. (in Chinese).

[12]

XuH, ZhouT-qiang. Energy characteristics of infrasound abnormality during rock deformation and failure of rock [J]. Chinese Journal of Geotechnical Engineering, 2016, 38(6): 1044-1050(in Chinese)

[13]

ZhuX, XuQ, TangM-g, FuX-m, ZhouJ-bin. Experimental study of infrasound wave generated by typical rock fracture [J]. Rock and Soil Mechanics, 2013, 34(5): 1306-1312(in Chinese)

[14]

WanX-x, ChenX-f, GuiW-h, YueW-c, XieY-fang. A novel shapelet transformation method for classification of multivariate time series with dynamic discriminative subsequence and application in anode current signals [J]. Journal of Central South University, 2020, 27(1): 114-131

[15]

ZhaoJ-b, LiuY-x, LiuN, HuMing. Spatial prediction method of regional landslide based on distributed bp neural network algorithm under massive monitoring data [J]. Rock and Soil Mechanics, 2019, 40(7): 2866-2872(in Chineses)

[16]

LiZ-m, GuiW-h, ZhuJ-yong. Fault detection in flotation processes based on deep learning and support vector machine [J]. Journal of Central South University, 2019, 26(9): 2504-2515

[17]

ZhaoJ-b, LiuY-x, LiuN, HuMing. Association rules of monitoring and early warning by using landslides FRPFP model—Case study of Jiangjin-Fengjie reach in three gorges reservoir area [J]. Chinese Journal of Geotechnical Engineering, 2018, 41(3): 492-500(in Chinese)

[18]

SampathA K, GomathiN. Decision tree and deep learning based probabilistic model for character recognition [J]. Journal of Central South University, 2017, 24(11): 2862-2876

[19]

CelikG, CelebiH. Theoretical limits for time delay based location estimation in cooperative relay networks [J]. Wireless Personal Communications, 2014, 75(4): 2429-2448

[20]

MaW, LiuXun. Compression computational grid based on functional beamforming for acoustic source localization [J]. Applied Acoustics, 2018, 134: 75-87

[21]

WorthmannB M, BrianM, DowlingD R. High frequency source localization in a shallow ocean sound channel using frequency difference matched field processing [J]. The Journal of the Acoustical Society of America, 2015, 138(6): 3549-3562

[22]

LeZ, JinP, ShenZ-xiang. Analytical algorithm for 3-D localization of a single source with uniform circular array [J]. IEEE Antennas and Wireless Propagation Letters, 2018, 17(2): 323-326

[23]

XuZ-y, ZhaoZhao. Perturbation sensitivity analysis of azimuth estimation of the acoustic source for the planar microphone array [J]. Journal of Xiadian University, 2017, 44(4): 95-99(in Chinese)

[24]

NicolasB, JeromeI M, LacoumeJ L. Source depth estimation using a horizontal array by matched-mode processing in the frequency-wavenumber domain [J]. EURASIP Journal on Advances in Signal Processing, 2006, 2006(2): 1-16

[25]

KE Wei, ZHANG Ming, ZHANG Tie-cheng. Three-dimensional sound source localization using distributed microphone arrays [J]. Chinese Journal of Acoustics, 2017(2): 89–102. DOI: https://doi.org/10.15949/j.cnki.0217-9776.2017.02.008.

[26]

PorterM B. A numerical method for bottom interacting ocean acoustic normal modes [J]. Journal of the Acoustical Society of America, 1985, 77(5): 1760-1767

[27]

KorskyH. Stress waves in solids [J]. Journal of Sound and Vibration, 1964, 1(1): 88-110

[28]

BREKHOVSKIKH L M, LYSANOV Y P. Fundamentals of ocean acoustics [M]. Berlin: Springer, 2003: 822–823. DOI: https://doi.org/10.1007/978-3-662-02342-6.

[29]

JensenF B, KupermanW A, PorterM B, SchmidtH. Computational ocean acoustics [J]. Computers in Physics, 1998, 9(11): 261-270

[30]

JENSEN F B, KUPERMAN W A, PORTER M B, SCHMIDT H. Computational ocean acoustics [M]. New York: American Mathematical Society, 2011.

[31]

CochranW, CrickF H C, Vandv. The structure of synthetic polypeptides. I. The transform of atoms on a helix [J]. Acta Crystallographica, 1952, 5(5): 581-586

[32]

ShenY, ZhaoH-f, YanL-ying. Three-dimension fourier transform matched filed localization using helix array [J]. IEEE Transactions on Signal Processing, 2017, 10(1): 1-6

[33]

LiuF-x, PanX, GongX-yi. Matched-field three-dimensional source localization using spiral line array [J]. Journal of Zhejiang University (Engineering Science), 2013, 47(1): 62-69(in Chinese)

[34]

YangK-deMatching field processing of underwater acoustic array signals [M], 2008, Xi’an, Northwestern Polytechnical University Press(in Chinese)

[35]

CHEN Ri-lin, TENG Peng-xiao, YANG Yi-chun. Spiral array design with particle swarm optimization [C]//2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). Xi’an, 2011: 1–4. DOI: https://doi.org/10.1109/ICSPCC.2011.6061704.

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