2019
DOI: 10.1109/tvt.2019.2902962
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A Geometric-Stochastic Integrated Channel Model for Hypersonic Vehicle: A Physical Perspective

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Cited by 27 publications
(8 citation statements)
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“…The fluctuation coefficient is a random variable and there is no explicit mathematical expression in the time domain. From the stochastic aspect, the probability density function (pdf) of is Gaussian and the mathematical form can be written as [20]…”
Section: A Space-time-varying Electron Density Modelmentioning
confidence: 99%
“…The fluctuation coefficient is a random variable and there is no explicit mathematical expression in the time domain. From the stochastic aspect, the probability density function (pdf) of is Gaussian and the mathematical form can be written as [20]…”
Section: A Space-time-varying Electron Density Modelmentioning
confidence: 99%
“…The study of SAR signal model under plasma sheath is a new problem and is fundamental for hypersonic platform-borne SAR imaging. Recently, a number of studies [19][20][21][22][23][24][25][26][27][28] on the signal propagation through plasma sheath were conducted. The reflection and transmission characteristics of sine waves [19][20][21][22][23] propagating through plasma sheath are analyzed in detail.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a number of studies [19][20][21][22][23][24][25][26][27][28] on the signal propagation through plasma sheath were conducted. The reflection and transmission characteristics of sine waves [19][20][21][22][23] propagating through plasma sheath are analyzed in detail. Moreover, the depolarization effect of sine signals propagating in plasma sheath is further studied [24,25].…”
Section: Introductionmentioning
confidence: 99%
“…Most systems will face modeling control problems caused by multiple complex environmental factors simultaneously: stronger nonlinearity, uncertain parameters, and external disturbances [1][2][3][4]. Such systems have higher requirements for the robustness and adaptive performance of the control algorithm, designing the control algorithm is a challenge [5]. It is necessary to study the nonlinear robust control system with compound uncertainties that meets the requirements.…”
Section: Introductionmentioning
confidence: 99%