Rain Monitoring with Polarimetric GNSS Signals: Ground-Based Experimental Research

An, Hao; Yan, Wei; Bian, Shuangshuang; Ma, Shuo

doi:10.3390/rs11192293

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…Pemanfaatan satelit navigasi Global Positioning System (GPS) untuk deteksi hujan dilakukan oleh para peneliti menggunakan polarimetric phase shift sinyal satelit yang diterima oleh perangkat di bumi [34]. Data pergeseran fase sinyal dari 14 satelit GPS yang diterima dengan polarisasi berbeda selama 2 tahun divalidasi dengan data akumulasi curah hujan per 60 menit dari stasiun cuaca yang menunjukkan korelasi mencapai 0.99.…”

Section: Gambar 7 Path-averaged Stratiform Rain-induced (Wet Path)unclassified

Optimalisasi Saluran Komunikasi Berbasis Gelombang Mikro Sebagai Alternatif Sistem Pemantauan Curah Hujan

Mardyansyah

Kurniawan

Santoso

et al. 2022

EJI

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As a vast archipelagic country with diverse topographic conditions and has an annual average rainfall of more than 2000 mm, Indonesia is prone to hydrometeorological disasters. Based on Indonesia's disaster data, throughout 2021 there were 3,658 incidents of floods and landslides distributed throughout Indonesia. This makes real-time rainfall monitoring with high density indispensable. Indonesia currently has a rainfall monitoring system about 1000 automatic rain gauges, so an increase in the spatial resolution of network is necessary. The increasing density of monitoring equipment using rain gauges and weather radar poses the problem of high procurement and operational costs. Therefore, several alternative rainfall monitoring systems are needed. In this article, we review several studies that focus on the utilization of terrestrial and satellite communication link operating in high frequency bands as an alternative for measuring rainfall. Optimization of the satellite communication system network is more suitable than terrestrial networks to be applied in Indonesia with archipelagic areas because it has a large number of point distributions with wider coverage. The use of artificial intelligence with deep learning techniques such as one dimensional convolutional neural network (1D-CNN) is also very promising to estimate rainfall intensity because it has a high accuracy of 93%..

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Section: Gambar 7 Path-averaged Stratiform Rain-induced (Wet Path)unclassified

Optimalisasi Saluran Komunikasi Berbasis Gelombang Mikro Sebagai Alternatif Sistem Pemantauan Curah Hujan

Mardyansyah

Kurniawan

Santoso

et al. 2022

EJI

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“…Integrity monitoring of navigation systems is crucial for ensuring confidence in positional information, encompassing the system's ability to promptly alert users when navigation becomes unreliable [3,4]. Early integrity monitoring predominantly targets homogeneous and redundant navigation sources within the global navigation satellite Remote Sens.…”

Section: Introductionmentioning

confidence: 99%

Two-Level Integrity-Monitoring Method for Multi-Source Information Fusion Navigation

Chen,

Zhao

2023

Remote Sensing

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To address the issue of integrity monitoring for a multi-source information fusion navigation system, a theoretical framework of two-level integrity monitoring is proposed. Firstly, at the system level, a system-integrity-monitoring method based on the Kalman filter weighted least-squares form is established to detect and isolate faulty navigation sources. Secondly, at the sensor level, considering the redundancy of the faulty navigation sources, this paper presents the design of a multi-mode comprehensive fault-detection method for non-redundant navigation sources. Additionally, an extended-dimension matrix optimized sensor-fault detection and verification method for redundant navigation sources is proposed. Finally, integrity risk allocation criteria are established based on the effectiveness of navigation sources to calculate the system protection level and trigger integrity alarms. The two-level integrity-monitoring method was tested on a multi-source information fusion navigation system integrated with an inertial navigation system (INS), global positioning system (GPS), BeiDou satellite navigation system (BDS), Doppler velocity log (DVL), barometric altimeter (BA), and terrain-aided navigation (TAN). Test results demonstrate that the proposed method can effectively isolate the faulty navigation source within 10 s. Furthermore, it can detect the faulty sensors within the faulty navigation sources, thereby enhancing the reliability and robustness of the multi-source information fusion navigation system.

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Remote Sensing of Precipitation Using Reflected GNSS Signals: Response Analysis of Polarimetric Observations

Asgarimehr

Hoseini

Semmling

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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For the first time, rain effects on the polarimetric observations of the Global Navigation Satellite System Reflectometry (GNSS-R) are investigated. The physical feasibility of tracking the modifications in the surface roughness by rain splash and the surface salinity by the accumulation of freshwater is theoretically discussed. An empirical analysis is carried out using measurements of a coastal GNSS-R station with two side-looking antennas in right and left-handed circular polarization (RHCP and LHCP). Discernible drops in RHCP and LHCP powers are observed during rain over a calm sea. The power drop becomes larger in size at higher elevation angles. The average LHCP power drops by ≈ 5 dB at an elevation angle of 45 • . The amplitude of the correlation sum shows a dampening, responding to rain rate systematically. The LHCP observations show higher sensitivity to rainfall compared to RHCP observations. The retrieved standard deviation of surface heights shows a steady increase over the rain rate. The derived surface salinity shows a decrease at rains higher than 10 mm/h. This study confirms the potential under environmental conditions of the GNSS-R groundbased station, e.g. with salinity mostly lower than 30 psu, over a calm sea, being a starting point for future investigations.

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Rain Monitoring with Polarimetric GNSS Signals: Ground-Based Experimental Research

Cited by 3 publications

References 30 publications

Optimalisasi Saluran Komunikasi Berbasis Gelombang Mikro Sebagai Alternatif Sistem Pemantauan Curah Hujan

Optimalisasi Saluran Komunikasi Berbasis Gelombang Mikro Sebagai Alternatif Sistem Pemantauan Curah Hujan

Two-Level Integrity-Monitoring Method for Multi-Source Information Fusion Navigation

Remote Sensing of Precipitation Using Reflected GNSS Signals: Response Analysis of Polarimetric Observations

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