Validation of the Satellite Method for Measuring Spectra of Spatially Inhomogeneous Sea Waves

Бондур, В. Г.; Дулов, В. А.; Козуб, В. А.; Мурынин, А. Б.; Yurovskaya, Maria; Yurovsky, Yu. F.

doi:10.3390/jmse10101510

Cited by 4 publications

(1 citation statement)

References 44 publications

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“…Viterbo et al ( 2019) proposed a spatial modeling framework for multi-altitude satellite constellations using a Poisson Cox point process. The authors developed a mathematical model that considers the inhomogeneous distribution of satellites at different altitudes (Okati & Riihonen, 2022) (Sukhinov et al, 2020) (Bondur et al, 2022). The proposed model enabled the analysis of coverage and interference in multi-altitude LEO satellite networks (Mirza & Khan, 2020).…”

Section: Introductionmentioning

confidence: 99%

Modeling and optimization of multi-altitude leo satellite networks using cox point processes

Zhu,

Solosa,

Maniani

2023

emod

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This research focuses on the modeling and optimization of multi-altitude Low Earth Orbit (LEO) satellite networks using Cox point processes to achieve efficient coverage and performance analysis. LEO satellite networks have gained attention for their potential to provide global connectivity with reduced latency and increased network capacity. Accurately modeling the spatial distribution of satellites at different altitudes and optimizing their deployment pose significant challenges. This research proposes a mathematical framework based on Cox point processes to capture the randomness and irregularity of satellite deployments. Optimization algorithms, such as genetic algorithms, are employed to determine the optimal satellite locations, altitude allocation, and network parameters. Performance analysis considers metrics such as coverage probability, signal strength, interference levels, capacity, and quality of service. The research contributes to the development of advanced modeling techniques, optimization algorithms, and performance analysis frameworks, enabling efficient coverage and performance optimization in multi-altitude LEO satellite networks. The numerical examples and discussions illustrate the effectiveness and potential of the proposed approach in enhancing the design and operation of satellite communication systems

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Section: Introductionmentioning

confidence: 99%

Modeling and optimization of multi-altitude leo satellite networks using cox point processes

Zhu,

Solosa,

Maniani

2023

emod

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Retrieving the Angular Distribution of Sea Wave Energy according to Satellite Imagery Spectra

et al. 2023

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The development of a method of retrieval of two-dimensional spatial spectra of sea wave elevations is proposed on the basis of high-resolution satellite imagery, which permits estimation of the angular distributions of wind wave energy. The method is validated by the results of a comprehensive experiment that involved satellite imaging of the Black Sea water area using optical instruments and sea truth measurements under controlled conditions from a stationary oceanographic platform. The angular distribution of sea wave energy retrieved by spatial spectra of satellite imagery fragments was compared with the results of measurements of the frequency-angular spectra collected using an array of string wave recorders. It is shown that the results of remote and in situ measurements are consistent in the range of sea wavelengths from 2.8 to 30 m and that the average absolute error is 0.3.

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Retrieving Angular Distributions of Sea Wave Energy According to Satellite Imagery Spectra

Bondur,

Dulov,

Kozub

et al. 2023

Doklady Rossijskoj akademii nauk. Nauki o Zemle

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Here we elaborate the method for retrieval of 2D spatial spectra of sea wave elevations using high-resolution satellite imagery. Such an elaboration allows us to assess angular distributions of wind wave energy. The method was validated based on the results of a comprehensive experiment that involved optical satellite imaging of the Black Sea water area and sea truth measurements under controlled conditions using a stationary oceanographic platform. Angular distribution of sea wave energy, retrieved by spatial spectra of satellite image fragments, were compared with the results of measurements of frequency-angular spectra using data from an array of string wave recorders. It has been demonstrated that the results of measurements by remote and in-situ methods are consistent in the range of sea wavelengths from 2.8 to 30 m, and the mean absolute error is 0.3.

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Validation of the Satellite Method for Measuring Spectra of Spatially Inhomogeneous Sea Waves

Cited by 4 publications

References 44 publications

Modeling and optimization of multi-altitude leo satellite networks using cox point processes

Modeling and optimization of multi-altitude leo satellite networks using cox point processes

Retrieving the Angular Distribution of Sea Wave Energy according to Satellite Imagery Spectra

Retrieving Angular Distributions of Sea Wave Energy According to Satellite Imagery Spectra

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