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基于交叉点数据和三维非参数模型的雷达高度计海况偏差估计方法

蒋茂飞 许可 刘亚龙 王磊

蒋茂飞, 许可, 刘亚龙, 王磊. 基于交叉点数据和三维非参数模型的雷达高度计海况偏差估计方法[J]. 电子与信息学报, 2016, 38(11): 2731-2738. doi: 10.11999/JEIT160195
引用本文: 蒋茂飞, 许可, 刘亚龙, 王磊. 基于交叉点数据和三维非参数模型的雷达高度计海况偏差估计方法[J]. 电子与信息学报, 2016, 38(11): 2731-2738. doi: 10.11999/JEIT160195
JIANG Maofei, XU Ke, LIU Yalong, WANG Lei. A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2731-2738. doi: 10.11999/JEIT160195
Citation: JIANG Maofei, XU Ke, LIU Yalong, WANG Lei. A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model[J]. Journal of Electronics & Information Technology, 2016, 38(11): 2731-2738. doi: 10.11999/JEIT160195

基于交叉点数据和三维非参数模型的雷达高度计海况偏差估计方法

doi: 10.11999/JEIT160195

A New Method for Radar Altimeter Sea State Bias Estimation Based on Crossover Data and Three-dimensional Nonparametric Model

  • 摘要: 海况偏差(Sea State Bias, SSB)是雷达高度计测量海面高度的重要误差源。目前,业务化运行的雷达高度计的海况偏差校正都是采用基于风速(U)和有效波高(SWH)的2维经验模型方法,其海况偏差校正不确定度约为2 cm。该文提出一种基于交叉点数据和3维非参数模型的海况偏差估计方法,该方法利用星下交叉点数据,采用基于U, SWH以及平均波周期(MWP)的3维非参数模型进行海况偏差估计。该文利用这种估计方法对Jason-2卫星雷达高度计2009~2011年3年的数据进行了处理,将处理结果与Jason-2卫星高度计的地球物理数据集(Geophysical Data Records, GDR)中的海况偏差校正项进行对比,结果表明该文提出的海况偏差估计方法平均能降低1.64 cm2的交叉点海面高度不符值的方差和0.92 cm2的沿轨海面高度异常值的方差,分别对应于1.28 cm和0.96 cm的均方根(RMS)海面高度,这对于提高高度计数据产品的精度具有重要意义。
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出版历程
  • 收稿日期:  2016-03-03
  • 修回日期:  2016-07-12
  • 刊出日期:  2016-11-19

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