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利用星载软件定义 GPS 和星基增强系统反射测量观测中的闪烁理论进行海面波测量。

Ocean-Surface Wave Measurements Using Scintillation Theories on Seaborne Software-Defined GPS and SBAS Reflectometry Observations.

机构信息

Center for Space and Remote Sensing Research, National Central University, Taoyuan 320317, Taiwan.

Department of Space Science and Engineering, National Central University, Taoyuan 320317, Taiwan.

出版信息

Sensors (Basel). 2023 Jul 6;23(13):6185. doi: 10.3390/s23136185.

DOI:10.3390/s23136185
PMID:37448031
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10346233/
Abstract

In this study, a low-cost, software-defined Global Positioning System (GPS) and Satellite-Based Augmentation System (SBAS) Reflectometry (GPS&SBAS-R) system has been built and proposed to measure ocean-surface wave parameters on board the research vessel New Ocean Researcher 1 (R/V NOR-1) of Taiwan. A power-law, ocean-wave spectrum model has been used and applied with the Small Perturbation Method approach to solve the electromagnetic wave scattering problem from rough ocean surface, and compared with experimental seaborne GPS&SBAS-R observations. Meanwhile, the intensity scintillations of high-sampling GPS&SBAS-R signal acquisition data are thought to be caused by the moving of rough surfaces of the targeted ocean. We found that each derived scintillation power spectrum is a Fresnel-filtering result on ocean-surface elevation fluctuations and depends on the First Fresnel Zone (FFZ) distance and the ocean-surface wave velocity. The determined ocean-surface wave speeds have been compared and validated against nearby buoy measurements.

摘要

本研究构建并提出了一种低成本、软件定义的全球定位系统 (GPS) 和基于卫星的增强系统 (SBAS) 反射测量系统 (GPS&SBAS-R)，用于测量台湾研究船“新海洋探索者 1 号”(R/V NOR-1) 上的海洋表面波参数。本研究使用了幂律海洋波谱模型，并应用小扰动方法解决了从粗糙海面散射的电磁波问题，并与实验性星载 GPS&SBAS-R 观测结果进行了比较。同时，认为高采样 GPS&SBAS-R 信号采集数据的强度闪烁是由目标海洋的粗糙表面移动引起的。研究发现，每个导出的闪烁功率谱都是对海洋表面高程波动的菲涅尔滤波结果，并且取决于第一菲涅尔区 (FFZ) 距离和海洋表面波速度。所确定的海洋表面波速度已与附近浮标测量值进行了比较和验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/decece7e74cd/sensors-23-06185-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/5efe10fd9016/sensors-23-06185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/9508b42f6d48/sensors-23-06185-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/733f0b39dc70/sensors-23-06185-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/a0fb96da5b08/sensors-23-06185-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/8899d8e5bdcc/sensors-23-06185-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/b929bbfe1e21/sensors-23-06185-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/c4d3be1f26f5/sensors-23-06185-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/decece7e74cd/sensors-23-06185-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/5efe10fd9016/sensors-23-06185-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/9508b42f6d48/sensors-23-06185-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/733f0b39dc70/sensors-23-06185-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/a0fb96da5b08/sensors-23-06185-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/8899d8e5bdcc/sensors-23-06185-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/b929bbfe1e21/sensors-23-06185-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/c4d3be1f26f5/sensors-23-06185-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c93/10346233/decece7e74cd/sensors-23-06185-g008.jpg

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