An Analysis of Meteor Burst Communications for Military Applications

Oetting, J.

doi:10.1109/tcom.1980.1094849

Cited by 69 publications

(8 citation statements)

References 12 publications

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“…Meteor trails 'cannot be shot down', which makes MBC attractive for military applications [Hel87,Oet80,Boy88]. The transmission is largely impervious to electrical interference, such as polar and auroral disturbances [Hel87,DG+57].…”

Section: The Advantages Of Mbc Includementioning

confidence: 99%

Using artificial neural networks for meteor-burst communications trail prediction

Melville¹,

Sutcliffe

Fraser³

1996

Lecture Notes in Computer Science

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The use of meteor ionisation trails as 'cheap satellites' to reflect radio waves between two points on the earth's surface is an established technique, called Meteor Burst Communications (MBC). For MBC systems to take advantage of the different amplitude and duration patterns of different trail types it is necessary to predict these patterns from features of initial signals reflected from the trails. The work described in this paper attempts to predict trail amplitude, duration, and trail type using neural networks. Results include a picture of what features of the beginning of the trail are most and least important for recognising various characteristics of the rest of the trail, some significant results as regards trail type prediction, and high correlations between actual and predicted peak amplitudes of trails. The latter is an important result.

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Section: The Advantages Of Mbc Includementioning

confidence: 99%

Using artificial neural networks for meteor-burst communications trail prediction

Melville¹,

Sutcliffe

Fraser³

1996

Lecture Notes in Computer Science

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“…Thus, the interarrival rate has an exponential distribution with a density function of [2] where a is the mean interarrival time. Solving for the interarrival time:…”

Section: Obtaining the Markov Probability Matrixmentioning

confidence: 99%

Using Markov Chains to Model the Error Behavior of Data Communications Channels

Smith¹,

Burns²,

Moorhead³

1993

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“…MBC, however, has recently become popular because of its antijamming (AJ) features and its low probability of interception (I,PI). The advances in microcomputer technology and inexpensive solid-state memories are also responsible for making MBC desirable [Oetting, 1979]. The microcomputer revolution has made it possible to provide the inexpensive transmitters necessary to use the short meteor trail lifetime for communication [Kokjer and Roberts, 1986].…”

Section: Meteor Burst Communication Net-workmentioning

confidence: 99%

A modeling perspective for meteor burst communication

Healy

Shaw²,

Litko³

1989

Proceedings of the 21st Conference on Winter Simulation - WSC '89

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This paper describes the design and development of a methodology to analyze Meteor Burst Communication (MBC) networks. A decision support system was developed that provides a simulation model for any single or multiple-link MBC network. This model runs ona microcomputer and consists of two distinct components. The first component uses engineering parameters to compute intermediate queueing characteristics used by a discrete event simulation component. The simulation component provides point estimates for throughput, message delay, and resource utilization in tabular and graphical form. The MBC process is shown to be a M/G/1 queue with server vacations. Analytical equations and empirical data were both used to validate the MBC performance model. The modeling perspective presented in this research represents a new and robust method for analyzing MBC networks. Adaptive message routing, flood routing, and priority message traffic are discussed. By separating the engineering parameters of the MBC network from the simulation code, portability, ease of use,and conceptual simplicitywas achieved. This research demonstrates the successful marriage of complex communication system engineering with queueing theory and simulation models to produce a highly productive analysis tool.

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An Analysis of Meteor Burst Communications for Military Applications

Cited by 69 publications

References 12 publications

Using artificial neural networks for meteor-burst communications trail prediction

Using artificial neural networks for meteor-burst communications trail prediction

Using Markov Chains to Model the Error Behavior of Data Communications Channels

A modeling perspective for meteor burst communication

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