Performance predictions for single tropospheric communication links and for several links in tandem

Barsis, AP; Longley, AG; Norton, KA

doi:10.6028/nbs.tn.102

Cited by 11 publications

(4 citation statements)

References 6 publications

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“…Since this determination of system performance involves predicting the future statistically (and such predictions are subject to errors and unknowns), it is necessary (for a proper statistical description) to define system performance in terms of three independent component parts. These parts are termed grade of service, time availability, and service probability [Barsis et al, 1961;Spaulding, 1982, and references therein]. We will, of course, relate these system performance "parts" to IONCAP, VOA-CAP, and HFMUFES, and more modern statistical terminology.…”

Section: Ioncap (And Voacap) Now Use the New Noisementioning

confidence: 99%

The Ionospheric Communication Analysis and Prediction Program (IONCAP): Reliability and service probability calculations

Spaulding¹,

Stewart²

1995

Radio Science

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This paper presents an analysis and explanation of the system performance calculations performed by the reliability and service probability subroutines of the Ionospheric Communication Analysis and Prediction Program (IONCAP) and an IONCAP derivative, termed VOACAP. A review of the three components needed to properly statistically describe the performance of a communications system or link is presented. These components are needed to account for the short‐term and long‐term statistical variations of the desired signal and the interference and also the inherent prediction errors. A detailed numerical example is given for illustration and explanation. Suggestions for modification and improvement are also given.

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Section: Ioncap (And Voacap) Now Use the New Noisementioning

confidence: 99%

The Ionospheric Communication Analysis and Prediction Program (IONCAP): Reliability and service probability calculations

Spaulding¹,

Stewart²

1995

Radio Science

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“…This test is given on page 177 of Bennett and Franklin [1954]. Although the hourly medians used to obtain each of the two cumulative distributions are likely to be serial-correlated from hour to hour, one may assume that no significant serial correlation exists from day to day [Barsis, Norton, Rice, and Elder, 1961]. Thus at least 24 and 19 independent observations, respectively, characterize the two distributions, and on this basis the test shows that the two sample means are significantly different (at the 5 percent level).…”

Section: Long-term Variability Of Transmission Lossmentioning

confidence: 99%

Mountain Obstacle Diffraction Measurements at 751 Mc/s and 9.2 Gc/s

Barsis

Hause

1966

Radio Science

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This paper contains results of a measurement program on 751 Mc/s and 9.2 Gc/s using a long mountain-obstacle diffraction path in Colorado. Data are analyzed and evaluated in terms of long· term and short-term variability, correlation coefficients between carrier envelopes received on spaced antennas, and comparison of a priori predicted and measured cumulative distributions of hourly transmission loss medians. Results show beuer agreement between predictions and measurements on 751 Mc/s than on 9.2 Gc/s. Short-term (within-the-hour) variations in signal level on 751 Mc/s can be characterized as prolonged space-wave· fadeouts, whereas such variations on 9.2 Gc/s verv frequently show characteristics of a Rayleigh-distributed signal.

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“…^In this paper capital letters are used to designate the decibel equivalent of the corresponding lower case letters, L s = 10 log(p t /p r ) = P t -P r [1] e. g. , Ρ t 5 10*t…”

Section: Introductionmentioning

confidence: 99%