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机载GNSS反射信号海面测高模型的研究

张云 张杨阳 孟婉婷 杨树瑚 韩彦岭

张云,张杨阳,孟婉婷,等. 机载GNSS反射信号海面测高模型的研究[J]. 海洋学报,2020,42(3):149–156,doi:10.3969/j.issn.0253−4193.2020.03.015
引用本文: 张云,张杨阳,孟婉婷,等. 机载GNSS反射信号海面测高模型的研究[J]. 海洋学报,2020,42(3):149–156,doi:10.3969/j.issn.0253−4193. 2020.03.015
Zhang Yun,Zhang Yangyang,Meng Wanting, et al. Research on sea surface altimetry model of airborne GNSS reflected signal[J]. Haiyang Xuebao,2020, 42(3):149–156,doi:10.3969/j.issn.0253−4193.2020.03.015
Citation: Zhang Yun,Zhang Yangyang,Meng Wanting, et al. Research on sea surface altimetry model of airborne GNSS reflected signal[J]. Haiyang Xuebao,2020, 42(3):149–156,doi:10.3969/j.issn.0253−4193.2020.03.015

机载GNSS反射信号海面测高模型的研究

doi: 10.3969/j.issn.0253-4193.2020.03.015
基金项目: 国家自然科学基金(41376178,41401489);上海市大学青年教师基金(ZZHY13033)。
详细信息
    作者简介:

    张云(1974—)男,上海市人,教授,主要从事卫星导航定位和GNSS-R技术研究。E-mail:y-zhang@shou.edu.cn

  • 中图分类号: P228.3

Research on sea surface altimetry model of airborne GNSS reflected signal

  • 摘要: 相对于岸基GNSS-R技术,机载GNSS-R优势在于其空间分辨率高、监测范围广,可对特定区域范围进行高分辨率监测,兼具了灵活的高度和方位调节的同时保障了更高的数据质量。本文主要研究了机载GNSS-R测高模型,依据岸基GNSS-R码测高原理,针对大气延迟、天线距离等进行修正,优化机载测高模型,同时采用DTU10全球海面平均高度及潮汐模型验证机载GNSS-R测高模型的精度。通过分析2011年11月11日,CSIC-IEEC在芬兰波罗的海的GNSS-R机载数据,针对不同仰角下的实验数据进行反演,成功地实现了亚米级机载海面高度反演,得出仰角大小会对测高结果精度产生较大影响的结论,定性分析了仰角大小所引起的误差范围。本文的结果证明了机载GNSS-R的海面测高的可行性。
  • 图  1  GNSS-R码测高技术基本概念

    Fig.  1  GNSS-R group delay altimetry basic concept

    图  2  机载测高模型

    Fig.  2  Airborne altimetry model

    图  3  飞行轨迹图

    a. 第一个实验期间飞行轨迹;b. 第二个实验期间飞行轨迹

    Fig.  3  Flight trajectory

    a is the flight trajectory during the first experiment; b is the flight trajectory during the second experiment

    图  4  PRN12号卫星(红)及PRN25号卫星(蓝)仰角变化

    a. 第一个实验期间仰角变化;b. 第二个实验期间仰角变化

    Fig.  4  Variation of PRN12 satellite (red) and PRN25 satellite (blue) elevation angle

    a is the elevation angle change during the first experiment; b is the elevation angle change during the second experiment

    图  5  PRN12(红色)和PRN25(蓝色)卫星镜面反射点轨迹

    a. 第一个实验期间镜面反射点轨迹;b. 第二个实验期间镜面反射点轨迹

    Fig.  5  PRN12 (red) and PRN25 (blue) satallite specular reflection point trace

    a is the specular reflection point trajectory during the first experiment; b is the specular reflection point trajectory during the second experiment

    图  6  第一个数据时间段1 s高度对比

    a. 高仰角情况下高度对比;b. 低仰角情况下高度对比

    Fig.  6  The first data period 1 s height comparison

    a is height comparison for high elevation angles; b is height comparison for low elevation angles

    图  7  第一个数据时间段20 s平均后高度对比

    a. 高仰角情况下高度对比;b. 低仰角情况下高度对比

    Fig.  7  The first data period after 20 s average height comparison

    a is height comparison for high elevation angles; b is height comparison for low elevation angles

    图  8  反演高度异常值(a)及筛选过后高度值(b)

    Fig.  8  Inversion of height anomaly values(a)and filtered height values(b)

    图  9  直射信号正常功率波形(a)及异常功率波形(b)

    Fig.  9  Direct signal normal(a)and abnormal power waveform(b)

    图  10  第二个数据时间段1 s高度对比

    a. 高仰角情况下高度对比;b.低仰角情况下高度对比

    Fig.  10  The second data period 1 s height comparison

    a is height comparison for high elevation angles; b is height comparison for low elevation angles

    图  11  第二个数据时间段20 s平均后高度对比

    a.高仰角情况下高度对比;b.低仰角情况下高度对比

    Fig.  11  The second data period after 20 s average height comparison

    a is height comparison for high elevation angles; b is height comparison for low elevation angles

    表  1  实验数据结果

    Tab.  1  Result of experimental data

    数据GPS时间仰角卫星号低/高仰角
    第一个数据时间段452 008~453 350 s80.51°~84.29°12
    46.60°~56.78°25
    第二个数据时间段456 700~458 099 s76.82°~79.93°25
    47.30°~58.30°12
    下载: 导出CSV

    表  2  实验数据结果

    Tab.  2  Result of experimental data

    实验数据卫星号仰角评估标准1 s10 s15 s20 s
    第一个数据时间段12Bias/m0.0090.012−0.006−0.007
    MAE/m0.8900.4920.4620.447
    STD/m0.6900.3950.3470.329
    25Bias/m2.6002.5952.5812.578
    MAE/m3.9342.9222.8792.811
    STD/m3.7812.0781.8661.789
    第二个数据时间段25Bias/m0.7980.7920.7890.792
    MAE/m1.2111.0020.9810.972
    STD/m0.8740.7270.7210.718
    12Bias/m−2.362−2.544−2.543−2.533
    MAE/m5.9003.5233.2263.179
    STD/m5.0563.3412.9512.818
      注:Bias表示偏差,MAE表示平均绝对误差,STD表示平均绝对误差的标准偏差。
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-02-22
  • 修回日期:  2019-09-06
  • 网络出版日期:  2020-11-18
  • 刊出日期:  2020-03-25

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