Zhang Qiuyang, Liu Yang, Xia Junming
School of Instrumentation and Opto-Electronic Engineering, Beihang University, Beijing 100191, China.
National Space Science Center, Chinese Academy of Science, Beijing 1001901, China.
Sensors (Basel). 2020 Sep 27;20(19):5535. doi: 10.3390/s20195535.
Global Navigation Satellite System Reflectometry (GNSS-R) technology is a new and promising remote sensing technology, especially satellite-based GNSS-R remote sensing, which has broad application prospects. In this work, the ionospheric impacts on space-borne GNSS-R sea surface altimetry were investigated. An analysis of optimal values for spatial filtering to remove ionospheric delays in space-borne GNSS-R altimetry was conducted. Considering that there are few satellite-borne GNSS-R orbit observations to date, simulated high-resolution space-borne GNSS-R orbital data were used for a comprehensive global and applicable study. The curves of absolute bias in relation to the bilateral filtering points were verified to achieve the minimum absolute bias. The optimal filtering points were evaluated in both statistical probability density and quantile analysis to show the reliability of the selected values. The proposed studies are helpful and valuable for the future implementation of high-accuracy space-borne GNSS-R sea surface altimetry.
全球导航卫星系统反射测量（GNSS-R）技术是一种新兴且有前景的遥感技术，特别是基于卫星的GNSS-R遥感技术，具有广阔的应用前景。在这项工作中，研究了电离层对星载GNSS-R海面测高的影响。对用于消除星载GNSS-R测高中电离层延迟的空间滤波最佳值进行了分析。鉴于目前星载GNSS-R轨道观测数据较少，利用模拟的高分辨率星载GNSS-R轨道数据进行全面的全球适用性研究。验证了与双边滤波点数相关的绝对偏差曲线，以实现最小绝对偏差。在统计概率密度和分位数分析中评估了最佳滤波点，以表明所选值的可靠性。所提出的研究对于未来高精度星载GNSS-R海面测高的实施具有帮助和价值。
