A technique for generating correlated Xband weather degradation statistics
Abstract
It is, known that the Xband noise temperature of DSN receivers can go up from 20 K to over 100 K or more, if the air is heavily laden with water vapor, although that is an uncommon occurrence. It is proposed that the DSN furnish flight projects relying on Xband degradation models, one for each DSN Complex. Such models would be in the form of a random process generator, say in an MBASIC program, that would permit the project to generate Xband degradation data with the right autocorrelations for periods of interest to the Projects. The autocorrelation modeling is especially important because bursts of degradation lasting several days can affect data storage and mission sequence design strategy. One approach which works if the degradation statistics obey a halfgaussian law. That is, the random variables are formed by taking the absolute values of another set of random variables, themselves having a Gaussian distribution. The technique then permits the halfgaussian random variables to have given one and twostep correlation coefficients.
 Publication:

The Deep Space Network
 Pub Date:
 October 1976
 Bibcode:
 1976dsn..nasa..180P
 Keywords:

 Superhigh Frequencies;
 Weather Data Recorders;
 Degradation;
 Numerical Analysis;
 Random Variables;
 Telemetry;
 Space Communications, Spacecraft Communications, Command and Tracking