船舶GNSS估计对基于模拟数据集的处理建模的敏感性
Aurélie Panetier1, Pierre Bosser2, Ali Khenchaf1
1PIM UMR 6285 CNRS, Lab-STICC (Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance), ENSTA Bretagne, 29200 Brest, France.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
船舶全球导航卫星系统 (GNSS) 的测量可以监测大气中的水蒸气. 这项研究优化了GNSS数据处理模型,以提高从移动平台估计ZWD的准确性.
科学领域:
- 地质测量是指地质测量.
- 大气科学 大气科学
- 气象学 天气学
背景情况:
- 大气中的水蒸气对于气候和天气研究至关重要.
- 全球导航卫星系统 (GNSS) 的测量是监测水蒸气的一个关键工具,特别是Zenith Wet Delay (ZWD).
- 船载GNSS数据提供了扩展的海洋覆盖范围,但由于天线移动而带来处理挑战,使天线高度和ZWD的分离变得复杂.
研究的目的:
- 调查不同观测建模和处理参数化对模拟船载GNSS测量的天线高度和ZWD估计的影响.
- 确定最佳的处理策略,以提高从移动平台获取ZWD的准确性.
主要方法:
- 开发和使用定制的GNSS模拟器来生成现实的船载测量场景.
- 测试各种处理模型,包括高度切断角,高度权重函数和ZWD随机步行参数.
- 评估不同的模拟配置,如卫星星座,测量采样率和天线位置.
主要成果:
- 推的处理参数包括3°的升高切线角和正弦值升高权重函数的平方根.
- 对于ZWD来说,一个最佳的随机步行被确定为大约5mm·h-1/2,特别有效于中度.
- 该研究表明,特定的建模选择显著影响了从船载GNSS数据中ZWD估计的准确性.
结论:
- 优化处理模型对于从船载GNSS数据中可靠地估计ZWD至关重要.
- 推参数为改善海洋大气水蒸气监测提供了一个强大的框架.
- 这些发现将促进更准确的气候和气象研究,使用船载GNSS测量的系统分析.
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