Statistical model for lowfrequency propagation
Abstract
Prediction of LF signal strengths is usually done by using a single "average" model of the ionosphere. However, this approach suffers from the fact that signal strength is a nonlinear function of ionospheric parameters. Hence the "average" ionosphere does not always give the correct average signal strength. In addition, the standard deviation of signal strength varies considerably with position, in general being larger in the vicinity of modal interference nulls. A model where the daytime ionosphere is treated statistically is presented. The propagation model used is an earth ionosphere waveguide. The ionospheric electron density profile is specified by a reference height h' and slope β. These parameters are assumed to be distributed in a jointly normal distribution. Best fit values for this model are obtained using measurements made at two points on either side of a deep modal interference null located about 1000 km from a 59kHz transmitter. The measured signal strength mean, and standard deviation were used to obtain a best fit mean, standard deviation and correlation coefficient for the β and h' distribution. The resulting ionospheric parameters give signal statistics that fit the measured mean and standard deviation at both monitoring points within 1 dB.
 Publication:

Radio Science
 Pub Date:
 June 1985
 DOI:
 10.1029/RS020i003p00528
 Bibcode:
 1985RaSc...20..528F
 Keywords:

 Ionospheric Propagation;
 Low Frequencies;
 Radio Frequency Interference;
 Signal Fading Rate;
 Signal Measurement;
 Statistical Analysis;
 Atmospheric Models;
 Ionospheric Conductivity;
 Ionospheric Electron Density;
 Standard Deviation;
 Waveguides;
 Communications and Radar;
 Radio Science: Ionospheric propagation