One-step solution to local tie vector determination at co-located GNSS/VLBI sites

The local tie vector, which connects the different space geodetic techniques at a co-located site, plays an important role in the realization of the International Terrestrial Reference Frame (ITRF). This paper presents a new method to determine the tie vector between the GNSS and very long baseline interferometry tracking points. The parameters of the local tie vector and the axes offsets are introduced into constraint equations. The parameters are then resolved using the 3D constrained least squares adjustment. With the surveying data collected at two different sites (Kunming and Urumqi) in China, the proposed method can precisely determine the local tie vectors in a geocentric frame. The root mean square error (RMSE) is (1.2, 2.3 and 1.5 mm) and (1.0, 1.5 and 1.4 mm) for the three coordinate components at the sites in Kunming and Urumqi, respectively. The offset between the primary and secondary axes of the VLBI telescopes is estimated to be 7.5 mm in Kunming’s site and 4.0 mm in Urumqi’s site, and the corresponding RMSE is 1.8 mm and 2.0 mm for the two sites, respectively.     

一种双星故障条件下RAIM可用性评估的改进方法

在总结已有的RAIM可用性评估的矩阵最大特征值方法（MMEM）基础上,改进已有的双星故障条件下RAIM可用性方法中的数学模型,提出RAIM可用性评估的极大值方法（MM）。基于给定的完好性风险参数和国际GNSS监测评估系统（IGMAS）提供的2020-09-06中国境内8个跟踪站的BDS实测数据,利用2种方法计算双星故障条件下水平保护级别（HPL）,比较并分析2种方法在双星故障条件下BDS的RAIM可用性性能。结果表明,在中国境内,MMEM除在非精密进近（NPA）计算的RAIM可用性不及MM外,整体可用性高于MM,但MM耗时较少;MM计算的可用性能够完全满足航路和远洋2个阶段,MMEM计算的可用性可以完全满足终端、航路和远洋3个阶段;基于MM的RAIM可用性评估方法理论严密、数学模型简单、易于进行程序设计,是除MMEM外的另一种RAIM可用性评估方法。     

基于熵函数的点云变形可靠性评价指标确定

本文对三维激光扫描测距、测角及配准误差进行分析,利用信息熵的定义给出误差熵模型,并根据误差熵和误差极值的关系,确定变形提取可靠性评价指标。最终通过边坡变化状况进行分析,确定该方法的有效性。     

星载GNSS-R海浪有效波高反演模型构建EI北大核心CSCD

海浪有效波高是描述海况的重要参数,在海浪和海洋动力学的预测中起着重要的作用。然而,卫星雷达高度计和浮标等传统方法难以实现高时空分辨率的SWH估计。星载GNSS-R为估计SWH提供了一种思路。本文提出了一种基于归一化积分延迟波形反演星载GNSS-R海浪SWH的方法。首先,对星载GNSS-R延迟多普勒图进行去噪处理和数据过滤以便对DDM数据进行严格质量控制。然后,从DDM中提取NIDW,并基于NIDW计算4个GNSS-R观测值(即归一化积分时延波形的前沿斜率和前沿波形值之和,归一化积分时延波形的后沿斜率和后沿波形值之和)。随后,基于这4个观测值建立了星载GNSS-R海浪SWH反演经验模型。最后,分别将ERA5和AVISO SWH数据产品作为验证数据,并将反演模型的SWH估计结果与ERA5和AVISO SWH数据产品进行比较和分析。试验结果表明,当采用ERA5 SWH数据作为验证数据时,4个观测值反演SWH的均方根误差和相关系数分别优于0.66 m和0.65;当采用AVISO SWH数据作为验证数据时,4个观测值反演SWH的均方根误差和相关系数分别优于0.68 m和0.70。进一步表明了本文建模方法在星载GNSS-R SWH估计方面具有可行性和可靠性。     

Machine learning-based methods for sea surface rainfall detection from CYGNSS delay-doppler maps

GPS Solutions - Accurate secular trend estimates and their uncertainties of GNSS coordinate time series is imperative for its geophysical applications. However, trend estimates would be...