A Russian meteor burst communication experiment and measurement-prediction comparison

Desourdis, Robert I.; Сидоров, В. В.; Karpov, A. V.; Huziashev, R.G.; Epictetov, L.A.; Brown, David W.

doi:10.1109/milcom.1992.244097

Cited by 2 publications

(1 citation statement)

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“…The study concluded that observations could be better reproduced by transposing individual shower streams on an assumed constant flux of sporadic meteors around the orbit of the Earth. The models of Mawrey and Broadhurst [1993a] and Desourdis et al [1992] incorporate showers through the monthly radiant maps of the Pupyshev et al [1980] data set. However, short-lived or weak showers are likely to be blurred by the process of monthly averaging.…”

Section: Earlier Modelsmentioning

confidence: 99%

A meteor scatter prediction model and its application to adaptive beam steering

Akram¹,

Cannon²

1997

Radio Science

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Abstract. A computer model to predict the underdense meteor arrival rate over a forward meteor scatter communications link is presented. The model incorporates important effects such as major shower streams, a nonuniform radiant distribution, and antenna polarization coupling. A particularly useful aspect of the model is its capacity to predict the passage of sporadic and shower hotspot regions across the sky and thereby provide directional information to drive an adaptive beam steering system. Directional data from a phased array reception system in the United Kingdom has been used to determine the diurnal arrival distribution of sporadic meteors. This diurnal variation is broadly reproduced by the model and suggests that just two daily changes in the direction of a high-gain beam would offer considerable advantage over a fixed beam system. This paper shows that further improvements in system performance can be achieved with accurate predictions of the time of appearance and location of shower streams. A comparative study between monthly predictions and experimental data from a highlatitude link in Greenland over a year shows reasonable agreement but highlights the need for higher-resolution radiant data.

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Section: Earlier Modelsmentioning

confidence: 99%