2014
DOI: 10.2528/pier14031104
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Channel Characterization and Finite-State Markov Channel Modeling for Time-Varying Plasma Sheath Surrounding Hypersonic Vehicles

Abstract: Abstract-Effects on the communication signals caused by the time-varying plasma sheath surrounding hypersonic vehicles are investigated.Using computational fluid dynamics (CFD) technique, Demetriades's plasma turbulence model and finite-difference time-domain (FDTD) algorithm, amplitude variation and phase fluctuation induced by plasma electron density turbulence are obtained, and their statistical properties are analyzed and characterized. Furthermore, a finite-state Markov channel (FSMC) model is proposed, t… Show more

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Cited by 42 publications
(13 citation statements)
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“…Hence, It is speculated that time-varying plasma makes the constellation rotates. To validate the presumption further, we built a simplified model of one-dimensional EM wave propagation in the time-varying plasma 18 and used the wave impedance method and the equivalent transmission principle to calculate the EM wave transmission in experimental time-varying plamsa [22][23][24] and compared with the experimental results. The simulation parameter (including the electron density and plasma thickness) should be same as the experimental conditions.…”
Section: -6mentioning
confidence: 99%
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“…Hence, It is speculated that time-varying plasma makes the constellation rotates. To validate the presumption further, we built a simplified model of one-dimensional EM wave propagation in the time-varying plasma 18 and used the wave impedance method and the equivalent transmission principle to calculate the EM wave transmission in experimental time-varying plamsa [22][23][24] and compared with the experimental results. The simulation parameter (including the electron density and plasma thickness) should be same as the experimental conditions.…”
Section: -6mentioning
confidence: 99%
“…[14][15][16] Some research indicates that even though most of radio wave energy could penetrate plasma sheath, reliable communications cannot be achieved. 17,18 Potter analyzed and calculated the highest electron density fluctuation frequency in the reentry plasma is from 40 kHz to 100 kHz. 14 Guthart,15 Sproul analyzed the influence of the reentry turbulent plasma fluctuation on electromagnetic wave propagation, 16 and pointed out that the amplitude and phase modulation by the turbulent plasma at carrier frequency 44GHz are weaker than those at carrier frequency 5.6GHz.…”
Section: Introductionmentioning
confidence: 99%
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“…Compared with a single random process, a multistate Markov chain might be able to describe the dynamic time-varying plasma sheath channel for reentry vehicles with relatively high precision. He et al [7], [23] focused on this problem and proposed a finite-state Markov channel (FSMC) model to determine the dynamic effects of plasma sheath on EM wave propagation after an amplitude fluctuation induced by electron density turbulence in a plasma [24]. In the FSMC model, the power levels of the received signal are manually partitioned into a finite number of states, and an equal probability division criterion is used to establish a Markov channel model with eight states.…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, the plasma sheath enveloping a reentry vehicle can result in "communications blackout" during which the performance of on-board electromagnetic systems experience significant degradation [7,8]. One of the main cause of the "blackout" problem is the failure of on-board antennas which are greatly affected by the reentry plasma sheath [9,10]. Despite of the fact that the electromagnetic scattering from coated objects has been investigated extensively in past, the study of scattering from plasma coated objects has become very popular in recent years due to its practical applications in RCS reduction (stealth technology), radar camouflage, minimization of scattering by antenna obstacles, development of echo area enhancement devices and many other potential applications [11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%