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Accuracy analysis of ground-based GNSS-R sea level monitoring based on multi GNSS and multi SNR
Advances in Space Research ( IF 2.6 ) Pub Date : 2021-04-24 , DOI: 10.1016/j.asr.2021.04.024
Naiquan Zheng , Peng Chen , Zheng Li

With the expansion of GNSS applications, Global Navigation Satellite System Reflectometry (GNSS-R) technology has become an essential means for sea level monitoring. The development and improvement of multi-GNSS have brought new opportunities for ground-based GNSS-R sea level inversion research. More than 100 satellites in orbit are expected to improve the time resolution and the reliability of inversion results significantly. And GNSS-R technology is an SNR-based inversion technology. With the opening of different frequency channels of various GNSS systems, more signal-to-noise ratio (SNR) types are available. Therefore, the research on the multi-GNSS sea level inversion was carried out, and the multi signals inversion accuracy was analyzed. Based on the 2017–2019 observation data of the MAYG on the east coast of Africa, the SNR of the navigation satellite signal is used to invert the sea level. The results show that the time resolution of multi-GNSS inversion is significantly improved, and the average number of inversions per day reaches 51. The time interval between the two inversion results is only 18.5 min, which is 2.4 times that of GPS alone. There is a high agreement between the inversion results and the measured values. The root mean square error (RMSE) of the two is 0.36 m, and the correlation coefficient (R) is 0.93. In particular, the BDS of 2019 is monitored. It is concluded that BDS2-GEO is not suitable for coastal altimetry, the monitoring accuracy of BDS2-MEO is better than that of BDS2-IGSO and the monitoring effect of BDS3-MEO is equal to that of BDS2-MEO.



中文翻译:

基于多GNSS和多信噪比的地基GNSS​​-R海平面监测精度分析

随着GNSS应用的扩大,全球导航卫星系统反射计(GNSS-R)技术已成为海平面监测必不可少的手段。多GNSS的发展和完善为地基GNSS​​-R海平面反演研究带来了新的机遇。预计100多颗在轨卫星将显着提高时间分辨率和反演结果的可靠性。而GNSS-R技术是一种基于SNR的反演技术。随着各种GNSS系统不同频道的开通,更多的信噪比(SNR)类型可供选择。为此,开展了多GNSS海平面反演研究,分析了多信号反演精度。基于 2017-2019 年非洲东海岸 MAYG 观测数据,导航卫星信号的信噪比用于反转海平面。结果表明,多GNSS反演时间分辨率显着提高,平均每天反演次数达到51次,两次反演结果的时间间隔仅为18.5 min,是单独GPS的2.4倍。反演结果和测量值之间有很高的一致性。两者的均方根误差(RMSE)为0.36 m,相关系数(R)为0.93。特别是2019年的北斗监测。得出BDS2-GEO不适合沿海测高的结论,BDS2-MEO的监测精度优于BDS2-IGSO,BDS3-MEO的监测效果与BDS2-MEO相当。结果表明,多GNSS反演时间分辨率显着提高,平均每天反演次数达到51次,两次反演结果的时间间隔仅为18.5 min,是单独GPS的2.4倍。反演结果和测量值之间有很高的一致性。两者的均方根误差(RMSE)为0.36 m,相关系数(R)为0.93。特别是2019年的北斗监测。得出BDS2-GEO不适合沿海测高的结论,BDS2-MEO的监测精度优于BDS2-IGSO,BDS3-MEO的监测效果与BDS2-MEO相当。结果表明,多GNSS反演时间分辨率显着提高,平均每天反演次数达到51次,两次反演结果的时间间隔仅为18.5 min,是单独GPS的2.4倍。反演结果和测量值之间有很高的一致性。两者的均方根误差(RMSE)为0.36 m,相关系数(R)为0.93。特别是2019年的北斗监测。得出BDS2-GEO不适合沿海测高的结论,BDS2-MEO的监测精度优于BDS2-IGSO,BDS3-MEO的监测效果与BDS2-MEO相当。两次反演结果的时间间隔仅为18.5 min,是单独GPS的2.4倍。反演结果和测量值之间有很高的一致性。两者的均方根误差(RMSE)为0.36 m,相关系数(R)为0.93。特别是2019年的北斗监测。得出BDS2-GEO不适合沿海测高的结论,BDS2-MEO的监测精度优于BDS2-IGSO,BDS3-MEO的监测效果与BDS2-MEO相当。两次反演结果的时间间隔仅为18.5 min,是单独GPS的2.4倍。反演结果和测量值之间有很高的一致性。两者的均方根误差(RMSE)为0.36 m,相关系数(R)为0.93。特别是2019年的北斗监测。得出BDS2-GEO不适合沿海测高的结论,BDS2-MEO的监测精度优于BDS2-IGSO,BDS3-MEO的监测效果与BDS2-MEO相当。

更新日期:2021-06-30
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