Research on moving target detection technology based on GNSS-R
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摘要: 全球卫星导航反射信号(GNSS-R)移动目标探测技术是一种针对目标区域进行遥感探测的新型探测手段. 从技术机理上,GNSS-R移动目标探测技术为无源双基地雷达,具有与有源雷达截然不同的信号传播模型. 通过分析GNSS信号传播的几何构型,对监测区域特征进行分析,判断探测区域是否出现移动目标. 经过实验验证,当移动物体经过监测区域,系统能够准确地探测到移动目标并计算出目标高度及位置信息.
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关键词:
- 全球卫星导航系统(GNSS) /
- 全球卫星导航系统反射信号(GNSS-R) /
- 移动目标探测 /
- 遥感
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.. -
表 1 导航卫星仰角与方位角
卫星号 天线高/m 仰角/(°)和余切 方位解/(°)和余切 3 14.3 47.66/0.91 196.7/3.3 -
[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.