Citation
Abstract
Flight projects relying on the DSN’s X-band receiving facilities for X-band telemetry and/or tracking require some technique for generating test cases of degradations to use in mission sequence planning exercises and even in data rate selection. It is, for example, known that the X-band 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 X-band 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 X-band 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. This article therefore presents one approach which works if the degradation statistics obey a half-gaussian law. That is, the random variables are formed by taking the absolute values of another set of random variables, themselves having a (two-sided) gaussian distribution. The technique of this paper then permits the half-gaussian random variables to have given oneand two-step correlation coefficients.
Details
- Volume
- 42-35
- Published
- October 15, 1976
- Pages
- 180–196
- File Size
- 1.2 MB