July 2011 | NTIA Technical Report TR-11-478
Jeffery A. Wepman; Geoffrey A. Sanders
Abstract: Man-made radio noise measurements were conducted in a 1.16-MHz bandwidth at 112.5, 221.5, and 401 MHz at two residential and two business locations in the Boulder/Denver, Colorado, area. The measurement frequencies and bandwidth were selected using the results of a spectrum survey performed over the 104– 1060-MHz frequency range. The noise measurement data were collected as a complex baseband noise data record (consisting of six million in-phase (I) and quadrature-phase (Q) samples) every 10 minutes over a 24-hour period for each frequency and location. The data were processed to provide various statistical descriptions of the noise such as amplitude probability distributions (APDs). Median values of the antenna noise figure Fam were determined for each measurement frequency and environment type and compared to predicted values from existing man-made radio noise models. The measured values of Fam, while larger than the values predicted by the International Telecommunication Union (ITU) man-made radio noise model, were still within one standard deviation of the predicted values. Further noise measurements are recommended in a greater number of locations to provide more statistically significant results.
Keywords: noise measurement; man-made noise; spectrum survey; impulsive noise; spectrum measurements; amplitude probability distribution; man-made radio noise; Gaussian noise; antenna noise factor; external noise factor; International Telecommunications Union (ITU) radio noise model
For technical information concerning this report, contact:
Jeffery A. Wepman
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.