Adaptive Transmission Method for Alleviating the Radio Blackout Problem

He, Guolong; Zhan, Yafeng; Ge, and Ning

doi:10.2528/pier15072702

Cited by 29 publications

(7 citation statements)

References 31 publications

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“…where x(t) is input signals, y(t) is output signals, and n(t) is additive noise. According to the above analysis, we can get the transition probability of the dynamic plasma sheath channel shown in (13), which is a two-dimensional function related to amplitude and phase. From (3) and (13), we can get the channel capacity of the PSK channel: International Journal of Antennas and Propagation…”

Section: Mpsk Capacity Estimation Methods Under Dynamic Plasma Sheath mentioning

confidence: 99%

“…In addition, the attenuation of the electromagnetic wave by the plasma sheath varies dynamically with the plasma sheath's electron density. He et al [12,13] assumed a finite-state Markov channel (FSMC) model, to represent the dynamical effects on electromagnetic wave propagation through the plasma sheath. Shi et al [14] proposed a new multistate Markov channel modeling method to adaptively estimate the number of plasma sheath channel states and the channel parameters [14].…”

Section: Introductionmentioning

confidence: 99%

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The PSK Channel Capacity Estimation under Dynamic Plasma Sheath Channel

Yang

Zhang

et al. 2020

International Journal of Antennas and Propagation

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During the reentry process, the plasma sheath covering the surface of the hypersonic aircraft will cause the amplitude attenuation and phase jitter of the communication electromagnetic waves. Channel parameters such as the electron density and collision frequency of the plasma sheath reflect the changing trend of the plasma sheath, and these parameters can be measured by physical means. However, these parameters cannot directly reflect the change of the channel communication ability and cannot directly serve the design of communication methods in the plasma sheath. Due to the particularity of the plasma sheath, the traditional channel estimation method for Additive White Gaussian Noise channels will no longer be applicable. This paper presents a channel capacity estimation method for dynamic plasma sheath. First, the plasma sheath is equivalent to a discrete input continuous output memoryless channel, and then the channel capacity expression is derived according to Shannon formula. Finally, the channel capacity of the dynamic plasma sheath is estimated by calculating the transition probability density function. The simulation results show that the channel capacity of the dynamic plasma sheath is affected by both the signal-to-noise ratio (SNR) and the dynamic parameters of the plasma sheath. When the electron density is small, the channel capacity is mainly affected by the SNR. As the electron density increases, the dynamic parameters of the plasma sheath gradually become the main factor affecting the channel capacity. This method is a theoretical analysis of the channel capacity when the channel parameters of the plasma channel are known, and it is meaningful for conducting the work of communication methods design.

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Section: Mpsk Capacity Estimation Methods Under Dynamic Plasma Sheath mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The PSK Channel Capacity Estimation under Dynamic Plasma Sheath Channel

Yang

Zhang

et al. 2020

International Journal of Antennas and Propagation

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“…He Guolong proposed the following idea: "avoid large attenuation by high frequency transmission and slowing large dynamic by the reflected wave inversion" [8]. Thus, a new method of the plasma sheath channel estimation and prediction based on reflected wave inversion was introduced, and a communication scheme of auxiliary carrier acquisition and adaptive transmission at the receiving end was developed to reduce the influence of plasma dynamic jitter on communication information transmission.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Selection of Relay Node Based on Channel Fading Coefficient for Reentry Hypersonic Vehicles

Shi¹,

Jinxin²,

Li³

et al. 2017

PIER C

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Abstract-The development of near-space hypersonic vehicles is confronted with the "blackout" problem of the plasma sheath. As electronic density on the leeward surface is lower than that on the windward surface during the reentry process, a low Earth orbit (LEO) satellite may be used to mitigate this problem. In this study, the Iridium system, as a low-orbit relay satellite system, is utilized to evaluate the feasibility of using a LEO satellite. First, the incident angle of the electromagnetic waves radiating from the vehicles to various potential relay satellites is calculated by the STK software. Second, the transmission coefficient of the electromagnetic wave in the plasma is obtained by using the equivalent wave impedance method to present the attenuation effect of the plasma sheath channel. Finally, the attenuation coefficients of each channel between the aircraft and the potential satellite are used as a parameter to select the best relay in the reentry process of the vehicles. Simulation results show that the use of LEO satellites for relay can significantly reduce the communication interruption time during the reentry process by 32.6% for typical scenarios.

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“…However, in the field of wireless communications, the lack of comprehensive knowledge of channel characteristics is another factor in the inadaptability of the current communication methods to the plasma sheath channel environment. The transmission signal quality still deteriorates even when the incident wave frequency is greater than the plasma frequency within the penetrable region [7], [8], and the traditional telemetry, trace, and command (TT&C) and communication systems cannot work effectively because of their adaptive limitation in such dynamic channel environment. Therefore, good insights into this particular complex EM propagation channel are critical to identify the rational communication schemes and methods to overcome the blackout problem induced by the reentry plasma sheath.…”

Section: Introductionmentioning

confidence: 99%

“…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%

Adaptive Multistate Markov Channel Modeling Method for Reentry Dynamic Plasma Sheaths

Shi

Liu

Fang

et al. 2016

IEEE Trans. Plasma Sci.

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Channel modeling of a plasma sheath for hypersonic reentry vehicles is important in addressing reentry communication blackout issues. Given that the time-varying property of the transmission medium is caused by physical factors such as largescale flight conditions variation, especially angle of attack, and small-scale fluid turbulence, a new adaptive multistate Markov channel modeling method is proposed to present the dynamic effects of reentry plasma sheaths on wireless channels. First, a quasi-Gaussian function mathematical model for the electron density of a dynamic plasma sheath is established according to the variation frequency of the dynamic physical factors. Then, the time-varying attenuation is calculated by combining the quasi-static Monte Carlo and uniform hierarchical analytical methods for nonuniform electronic density distribution. Finally, a hidden Markov model is employed to model the channel characteristics of the dynamic plasma sheath, and a reversiblejump Markov chain Monte Carlo algorithm is used to adaptively estimate the channel parameters of the multistate Markov channel. Simulation results show that the first-order statistical properties of the proposed channel are in good agreement with the calculated variable attenuation of radio waves, and this method has the adaptive capacity to estimate the number of multiple states and the channel parameters in each state without a need for manual setting. IndexTerms-Dynamic plasma sheath, Markov channel, reversible-jump Markov chain Monte Carlo algorithm (RJ-MCMC).

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Adaptive Transmission Method for Alleviating the Radio Blackout Problem

Cited by 29 publications

References 31 publications

The PSK Channel Capacity Estimation under Dynamic Plasma Sheath Channel

The PSK Channel Capacity Estimation under Dynamic Plasma Sheath Channel

Dynamic Selection of Relay Node Based on Channel Fading Coefficient for Reentry Hypersonic Vehicles

Adaptive Multistate Markov Channel Modeling Method for Reentry Dynamic Plasma Sheaths

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