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Volume 48 Issue 3
Jun.  2023
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ZHU Pengfei, ZHU Qinglin, DONG Xiang, SUN Mingchen. Research on moving target detection technology based on GNSS-R[J]. GNSS World of China, 2023, 48(3): 57-61, 134. doi: 10.12265/j.gnss.2023078
Citation: ZHU Pengfei, ZHU Qinglin, DONG Xiang, SUN Mingchen. Research on moving target detection technology based on GNSS-R[J]. GNSS World of China, 2023, 48(3): 57-61, 134. doi: 10.12265/j.gnss.2023078
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Research on moving target detection technology based on GNSS-R

doi: 10.12265/j.gnss.2023078

  • China Research Institute of Radiowave Propagation, Qingdao 266107,China

  • Received Date: 2023-04-07
    Abstract
  • The mobile target detection technology based on GNSS-R is a new remote sensing detection method that uses the reflection signal of global satellite navigation signals to remotely detect the target area. From technical perspective, the GNSS-R mobile target detection technology is a passive bistatic radar. By analyzing the geometric configuration of GNSS signal propagation, the characteristics of the monitoring areal feature are analyzed to determine whether there is a moving target in the detection area. after experimental verification proveds that, when a moving object passes through the monitoring area, the system can accurately detect the moving target and calculate the target height and position information..

     

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    • References(18)
  • [1]
    谢钢. GPS原理与接收机设计[M]. 北京: 电子工业出版社, 2009.
    [2]
    MARTIN-NEIRA M, CAPARRINI M, FONT-ROSSELLO J, et al. A passive reflectometry and interferometry system (PARIS): application to ocean altimetry[J]. ESA journal, 1993, 17(4): 331-355.
    [3]
    MARTIN-NEIRA M, CAPARRINI M, FONT-ROSSELLO J, et al. The PARIS concept: an experimental demonstration of sea surface altimetry using GPS reflected signals[J]. IEEE transactions on geoscience and remote sensing, 2001, 39(1): 142-150. DOI: 10.1109/36.898676
    [4]
    WANG D W, SUN Y Q, WANG X Y, et al. A New GNSS-R interferometric ocean altimetry using Beidou-3 signal[J]. Chinese journal of space science, 2022, 42(3): 492-499. DOI: 10.11728/cjss2022.03.210315029
    [5]
    BU J W, YU K G, ZUO X Q, et al. GloWS-Net: a deep learning framework for retrieving global sea surface wind speed using spaceborne GNSS-R data[J]. Remote sensing, 2023, 15(3): 590. DOI: 10.3390/rs15030590
    [6]
    HOSEINI M, NAHAVANDEHI H. The potential of spaceborne GNSS reflectometry for detecting ocean surface currents[J]. Remote sensing of environment, 2022(282): 113256. DOI: 10.1016/j.rse.2022.113256
    [7]
    KAINULANINEN J , RAUTIAINEN K , HALLIKAINEN M, et al. Radiometric performance of interferometric synthetic aperture radiometer HUT-2D[C]//IEEE International Geoscience and Remote Sensing Symposium, 2007.
    [8]
    TABIBI S, GEREMIA-NIEVINSKI F, FRANCIS O, et al. Tidal analysis of GNSS reflectometry applied for coastal sea level sensing in antarctica and greenland[J]. Remote sensing of environment, 2020(248): 111959. DOI: 10.1016/j.rse.2020.111959
    [9]
    WU X R, MA W X, XIA J M, et al. Spaceborne GNSS-R soil moisture retrieval: status, development opportunities, and challenges[J]. Remote sensing, 2020, 13(1): 45. DOI: 10.3390/rs13010045
    [10]
    JIA Y, JIN S G, SAVI P, et al. Modeling and theoretical analysis of GNSS-R soil moisture retrieval based on the random forest and support vector machine learning approach[J]. Remote sensing, 2020, 12(22): 3679. DOI: 10.3390/rs12223679
    [11]
    管栋良, 梁子亮, 王勇. 地基GNSS-R在复杂地形条件下的积雪探测[J]. 地球物理学报, 2022, 65(11): 4236-4248.
    [12]
    吴学睿, 金双根. GNSS-R裸土和植被散射特性模拟研究[J]. 大地测量与地球动力学进展, 2014, 2(1): 457-465.
    [13]
    WANG F, YANG D K, NIU M J, et al. Sea ice detection and measurement using coastal GNSS reflectometry: analysis and demonstration[J]. IEEE journal of selected topics in applied earth observations and remote sensing, 2022(15): 136-149. DOI: 10.1109/JSTARS.2021.3133431
    [14]
    VALENCIA E, CAMPS A, PARK H, et al. Oil slicks detection using GNSS-R[C]// IEEE International Geoscience and Remote Sensing Symposium, 2011.
    [15]
    SIMONE A D , MILLEFIORI L M, MARTINO G D, et al. Spaceborne GNSS-Reflectometry for Ship-Detection applications: impact of acquisition geometry and polarization[C]// IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium, 2018.
    [16]
    SHEN N, CHEN L, CHEN R Z. Displacement detection based on Bayesian inference from GNSS kinematic positioning for deformation monitoring[J]. Mechanical systems and signal processing, 2022, 167(15): 108570. DOI: 10.1016/j.ymssp.2021.108570
    [17]
    陶琼, 孟李林, 黄海生, 等. 基于GNSS-R的车辆探测定位实验研究[J]. 现代电子技术, 2018, 41(5): 106-120. DOI: 10.16652/j.issn.1004-373x.2018.05.024
    [18]
    邢永强. 基于干涉的GNSS-R空中目标探测研究[D]. 西安: 西安邮电大学, 2018.
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