2013 IEEE International Symposium on Electromagnetic Compatibility (EMC), pp.101-106, 5-9 Aug. 2013
Electromagnetic compatibility (EMC) analysis approach for band migration to provide spectrum for the President's Spectrum Initiative
doi: 10.1109/ISEMC.2013.6670390Cite This Publication
Nicholas DeMinco, Christopher J. Behm, and Timothy J. Riley, “Electromagnetic compatibility (EMC) analysis approach for band migration to provide spectrum for the President's Spectrum Initiative,” in 2013 IEEE International Symposium on Electromagnetic Compatibility (EMC) pp.101-106, 5-9 Aug. 2013. http://dx.doi.org/10.1109/ISEMC.2013.6670390
Nicholas DeMinco , , , , Christopher J. Behm, and Timothy J. Riley
Abstract: When communication systems operating in one band must be moved to another band occupied by existing (incumbent) systems, an electromagnetic compatibility (EMC) analysis is used to evaluate the viability of spectrum sharing and frequency reassignments. The analysis starts with gathering all of the transmitter and receiver parameters of both systems. The correct propagation model for different geometric scenarios is then used to accurately estimate the signal strength of the interfering signal and determine the noise level of the victim receiver. If the separation distance is not adequate to reduce the interfering signal to an acceptable level, then the necessary frequency dependent rejection (FDR) must be determined. Finally, the interference-to-noise ratio (I/N) can be calculated which will allow a determination of frequency separation versus separation distance from the FDR curves.
Keywords: electromagnetic compatibility (EMC); interference; spectrum sharing; electromagnetic compatibility (EMC) analysis; frequency allocation; propagation loss; receiving antennas; electromagnetic interference; receivers; transmitters; EMC analysis; FDR curve; band migration; frequency dependent rejection; frequency reassignment; frequency separation; interference-to-noise (I/N) ratio; interfering signal; president spectrum initiative; receiver parameter; signal strength estimation; transmitter parameter; predictive models; transmitting antennas
For technical information concerning this report, contact:
Nicholas DeMinco
Institute for Telecommunication Sciences
(303) 497-3660
ndeminco@ntia.doc.gov
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