Arthur D. Spaulding; James S. Washburn
Abstract: The determination of radio communication system performance is a matter of proper
statistical treatment of both the desired signal and the real-world noise (or interference)
processes. System performance is highly dependent on the detailed statistical characteristics of
both the signal and the noise as well as the single parameter: signal-to-noise ratio (which is
sometimes the only parameter considered). Generally, the computation of the desired signal
characteristics over a given path can be made reasonably accurately. This is not the case when it
comes to estimating the noise level and other required noise characteristics. Existing noise
models consist primarily of the worldwide atmospheric noise maps contained in CCIR Report
322 and estimated man-made noise levels given in CCIR Report 258. In addition, there are
numerous other special purpose models.
There is a need for an overall, comprehensive usable noise model for application to
telecommunication problems. One needed task that has been accomplished toward the goal of
obtaining such an overall model is the development of an improved atmospheric noise model.
The existing worldwide atmospheric noise model (CCIR Report 322) was developed from
approximately 4 years of measurements from a worldwide network of 16 measurement stations.
This network made measurements for 5 years (longer in a few cases) past the completion of
CCIR Report 322 in 1963. Also, additional data are now available from other locations,
primarily many years of data from 10 Soviet measurement stations. All these additional data
have been analyzed and an updated worldwide atmospheric noise model has been prepared in
both graphical and numerical forms. Results of this analysis show substantial “corrections” (on
the order of 20 dB for some locations) to the 1 MHz noise level values given by CCIR Report
322. It is the purpose of this report to
Keywords: atmospheric noise characteristics; atmospheric radio noise; diurnal and seasonal noise variations; worldwide noise levels; amplitude probability distribution
To request a reprint of this report, contact:
Lilli Segre, Publications Officer
Institute for Telecommunication Sciences
Disclaimer: Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.
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