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GNSS-IR双频数据融合的土壤湿度反演方法

荆丽丽 杨磊 汉牟田 洪学宝 孙波 梁勇

荆丽丽, 杨磊, 汉牟田, 等 . GNSS-IR双频数据融合的土壤湿度反演方法[J]. 北京航空航天大学学报, 2019, 45(6): 1248-1255. doi: 10.13700/j.bh.1001-5965.2018.0555
引用本文: 荆丽丽, 杨磊, 汉牟田, 等 . GNSS-IR双频数据融合的土壤湿度反演方法[J]. 北京航空航天大学学报, 2019, 45(6): 1248-1255. doi: 10.13700/j.bh.1001-5965.2018.0555
JING Lili, YANG Lei, HAN Moutian, et al. Soil moisture inversion method based on GNSS-IR dual frequency data fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(6): 1248-1255. doi: 10.13700/j.bh.1001-5965.2018.0555(in Chinese)
Citation: JING Lili, YANG Lei, HAN Moutian, et al. Soil moisture inversion method based on GNSS-IR dual frequency data fusion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(6): 1248-1255. doi: 10.13700/j.bh.1001-5965.2018.0555(in Chinese)

GNSS-IR双频数据融合的土壤湿度反演方法

doi: 10.13700/j.bh.1001-5965.2018.0555
基金项目: 

国家自然科学基金 41171351

国家重点研发计划 2016YFC0803104

国家“863”计划 2013AA102301

国家农业信息化工程技术研究中心开放课题 KF2015W003

浙江省基础公益研究计划 LGN19D040001

山东农业大学一流学科资金 xxxy201703

详细信息
    作者简介:

    荆丽丽  女, 硕士研究生。主要研究方向:3S技术集成与应用

    杨磊  男, 博士, 副教授。主要研究方向:GNSS-R、集成电路

    通讯作者:

    杨磊, E-mail: yanglei_sdau@163.com

  • 中图分类号: P237;TB553

Soil moisture inversion method based on GNSS-IR dual frequency data fusion

Funds: 

National Natural Science Foundation of China 41171351

National Key R & D Program of China 2016YFC0803104

National High-tech Research and Development Program of China 2013AA102301

Open Project of National Engineering Research Center for Information Technology in Agriculture KF2015W003

The Basic Public Welfare Research Project in Zhejiang Province LGN19D040001

Shandong Agricultural University Top Disciplines Foundation xxxy201703

More Information
  • 摘要:

    目前全球导航卫星系统反射信号干涉测量(GNSS-IR)土壤湿度反演研究仅针对单一频点展开,提出用熵值法将2个频点数据进行融合以改进土壤湿度反演精度。首先,利用频谱分析法分别解析出各频点的信噪比(SNR)序列的振荡频率,计算出对应的等效天线高度,并利用最小二乘法求解各频点信噪比序列相位;然后,通过熵值法进行2个频点的相位观测量融合;最后,利用融合结果与实测土壤湿度建立经验模型,实现土壤湿度反演。利用地基观测实验获得的全球定位系统(GPS)L1和L2信噪比数据对该方法进行了验证,结果表明:L1和L2双频融合反演结果平均标准差为0.6%,比L1单频反演结果提高64.73%,比L2单频反演结果提高32.12%;均方根误差为0.37%,比L1频点降低72.8%,比L2频点降低73.4%。

     

  • 图 1  GNSS-R干涉测量原理图

    Figure 1.  Schematic diagram of GNSS-R interferometry

    图 2  GNSS-IR土壤湿度地基实验场地信息

    Figure 2.  Information of GNSS-IR soil moisture ground-based experiment site

    图 3  数据处理过程

    Figure 3.  Flow of data processing

    图 4  PRN4建模结果

    Figure 4.  Modeling results of PRN4

    图 5  PRN7建模结果

    Figure 5.  Modeling results of PRN7

    图 6  PRN12建模结果

    Figure 6.  Modeling results of PRN12

    图 7  PRN24建模结果

    Figure 7.  Modeling results of PRN24

    图 8  不同卫星反演结果对比

    Figure 8.  Comparison of different satellite inversion results

    图 9  反演结果平均对比分析

    Figure 9.  Inversion results average comparison analysis

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出版历程
  • 收稿日期:  2018-09-18
  • 录用日期:  2019-01-18
  • 网络出版日期:  2019-06-20

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