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星载GNSS-R辅助海洋盐度探测方法

王峰 杨东凯

王峰, 杨东凯. 星载GNSS-R辅助海洋盐度探测方法[J]. 北京航空航天大学学报, 2018, 44(1): 108-116. doi: 10.13700/j.bh.1001-5965.2017.0018
引用本文: 王峰, 杨东凯. 星载GNSS-R辅助海洋盐度探测方法[J]. 北京航空航天大学学报, 2018, 44(1): 108-116. doi: 10.13700/j.bh.1001-5965.2017.0018
WANG Feng, YANG Dongkai. Sea surface salinity determination method assisted by spaceborne GNSS-R[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(1): 108-116. doi: 10.13700/j.bh.1001-5965.2017.0018(in Chinese)
Citation: WANG Feng, YANG Dongkai. Sea surface salinity determination method assisted by spaceborne GNSS-R[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(1): 108-116. doi: 10.13700/j.bh.1001-5965.2017.0018(in Chinese)

星载GNSS-R辅助海洋盐度探测方法

doi: 10.13700/j.bh.1001-5965.2017.0018
基金项目: 北京航空航天大学基本科研业务费-博士研究生创新基金
详细信息
    作者简介:

    王峰 男, 博士研究生。主要研究方向:导航卫星信号处理及其遥感应用

    杨东凯 男, 博士, 教授, 博士生导师。主要研究方向:GNSS遥感应用及室内定位技术

    通讯作者:

    杨东凯, E-mail: yangdongkai@sina.com

  • 中图分类号: P731.12;TN959.4

Sea surface salinity determination method assisted by spaceborne GNSS-R

Funds: the Innovation Foundation of BUAA for PhD Graduates
More Information
  • 摘要:

    全球导航卫星系统反射计(GNSS-R)是近年来兴起的一种被动式遥感手段,可用于提高海洋盐度(SSS)反演精度。首先,在回顾辐射计亮温模型和GNSS-R散射功率模型,并建立星载仿真场景的基础上,研究了GNSS-R辅助辐射计探测海洋盐度的性能,使辐射计工作于GPS L1频点1 575.42 MHz时,通过共用天线和射频前端可以降低星载设备的质量和功耗,但对海洋盐度大于25 psu的条件下,垂直和水平极化的亮温对海洋盐度的灵敏度分别下降约0.1和0.08 K/psu;其次,分析了GPS L1反射信号对辐射计的干扰,发现在仿真场景下当辐射亮温变化1 K时,GPS L1反射信号引入了小于2.5×10-4 K的误差;再者,讨论了不同入射角情况下定义的垂直和水平极化的GNSS-R观测量对亮温校正量的灵敏度,结果表明随入射角增大,水平、垂直极化信号的观测量对亮温校正量的灵敏度分别呈现下降和上升趋势;最后,分析了定义的GNSS-R观测量对亮温校正量的灵敏度与空间分辨率之间的关系,得出了高灵敏度、高空间分辨率反演算法的研究对星载GNSS-R辅助辐射计海洋盐度探测至关重要的结论。

     

  • 图 1  GNSS-R几何关系

    Figure 1.  GNSS-R geometry

    图 2  观测量积分区域示意图

    Figure 2.  Schematic of integration region of observable

    图 3  空间域到时延-多普勒域映射示意图

    Figure 3.  Schematic of mapping from spatial domain todelay-Doppler domain

    图 4  当高度角为30°和45°时,有效空间分辨率随最大时延的变化

    Figure 4.  Variation of effective spatial resolution with maximaldelay at elevation angle of 30° and 45°

    图 5  GNSS-R辅助辐射计海洋盐度探测框架

    Figure 5.  SSS determination architecture of radiometer assisted by GNSS-R

    图 6  海面温度为25 ℃,频率为1 413和1 575.42 MHz时,海面亮温对海洋盐度的灵敏度随海洋盐度的变化曲线

    Figure 6.  Sensitivity curves of sea surface brightness temperatureto SSS varying with SSS when sea surface temperature is25 ℃ and frequency is 1 413 and 1 575.42 MHz

    图 7  海面温度为25 ℃,海洋盐度为25 psu时,信干比随信号入射角的变化

    Figure 7.  Changing trend of signal-to-interference ratiowith incident angle of signal when sea surfacetemperature is 25 ℃ and SSS is 25 psu

    图 8  多普勒频率范围为[-3, 3] kHz,最大时延为5 chips时,水平极化、垂直极化信号的观测量及其灵敏度与亮温校正量的关系

    Figure 8.  Relationship of observable and its sensitivity with brightness temperature variation for horizontal and verticalpolarization signal when Doppler frequency range is[-3, 3] kHz and maximal delay is 5 chips

    图 9  入射角为30°,多普勒频率范围为[-1, 1] kHz时,水平极化、垂直极化信号观测量对亮温校正量的灵敏度与空间分辨率的关系

    Figure 9.  Relationship between sensitivity of horizontaland vertical polarization signal observable to brightnesstemperature variation and spatial resolutionwhen incident angle is 30° and Doppler frequencyrange is[-1, 1] kHz

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出版历程
  • 收稿日期:  2017-01-13
  • 录用日期:  2017-03-31
  • 刊出日期:  2018-01-20

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