Direct RF Sampling Receiver Front-End for a Ground Station Based on an Antenna Array

The paper provides a detailed description of the mean reaction rate expression derivation within a premixed turbulent combustion flame model based on Reynolds-averaged Navier-Stokes (RANS) equations. This marks the initial crucial step towards adapting the model to a large eddy simulation framework with time filtering, laying the foundation for future development activities. The approach uses a scalar magnitude called c, enabling the depiction of the fluctuating thermodynamic state with a bimodal probability distribution function (c =3D 0 and c =3D 1). The temporal evolution of this scalar variable is modeled as a random telegraphic signal, which is a stationary random function analyzed as a Markov process with two possible states. Additionally, the paper derives the frequency, waiting times in each state, probability functions of each state, auto-correlation function, spectral density, and integral time scale of the process.

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Published
2024-09-18
DOI
https://doi.org/10.1109/argencon62399.2024.10735853
Primary Topic
Antenna Design and Optimization
Type
article
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article

Direct RF Sampling Receiver Front-End for a Ground Station Based on an Antenna Array

Alejandro J. Venere, Nicolás E. Catalano, Juan Pablo Pascual
Antenna Design and Optimization
article

Direct RF Sampling Receiver Front-End for a Ground Station Based on an Antenna Array

Alejandro J. Venere, Nicolás E. Catalano, Juan Pablo Pascual
article en

Abstract

The paper provides a detailed description of the mean reaction rate expression derivation within a premixed turbulent combustion flame model based on Reynolds-averaged Navier-Stokes (RANS) equations. This marks the initial crucial step towards adapting the model to a large eddy simulation framework with time filtering, laying the foundation for future development activities. The approach uses a scalar magnitude called c, enabling the depiction of the fluctuating thermodynamic state with a bimodal probability distribution function (c =3D 0 and c =3D 1). The temporal evolution of this scalar variable is modeled as a random telegraphic signal, which is a stationary random function analyzed as a Markov process with two possible states. Additionally, the paper derives the frequency, waiting times in each state, probability functions of each state, auto-correlation function, spectral density, and integral time scale of the process.

Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Balseiro Institute (AR)
Affordable and clean energy
Openalex Percentile: Top 70%
Antenna Design and Optimization
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Direct RF Sampling Receiver Front-End for a Ground Station Based on an Antenna Array — Alejandro J. Venere, Nicolás E. Catalano, et al. · (2024) | TGRS Research Map | TGRS