DocumentCode
1219553
Title
Spectral Characteristics of FDM-FM Signals
Author
Ferris, C. Craig
Author_Institution
Commun. Sys. Lab. of Sylvania Elec. Sys., Waltham, USA
Volume
16
Issue
2
fYear
1968
fDate
4/1/1968 12:00:00 AM
Firstpage
233
Lastpage
238
Abstract
The power spectrum of a sinusoidal carrier which is frequency modulated by a normally distributed baseband signal may be expanded as a sum of weighted convolution terms. The significant parameter in the expansion, for an ideally bandlimited baseband spectrum, is
min
max where
is the mean squared frequency deviation and
min and
max are the lower and upper frequency limits of the baseband spectrum. For small values of
, the spectrum may be approximated using the baseband and the carrier. For large
, the spectrum is asymptotically Gaussian. We have computed spectra on a digital computer for intermediate values of
. In all computations, the spectra are approximated by ten convolution terms, defining the carrier component as the first term. Computations are for
for a rectangular baseband spectrum with no pre-emphasis and with CCIR pre-emphasis. The results are for typical multichannel FDMFM bands 12 to 36 kHz, 12 to 60 kHz, 12 to 156 kHz, and 12 to 252 kHz.
min
max where
is the mean squared frequency deviation and
min and
max are the lower and upper frequency limits of the baseband spectrum. For small values of
, the spectrum may be approximated using the baseband and the carrier. For large
, the spectrum is asymptotically Gaussian. We have computed spectra on a digital computer for intermediate values of
. In all computations, the spectra are approximated by ten convolution terms, defining the carrier component as the first term. Computations are for
for a rectangular baseband spectrum with no pre-emphasis and with CCIR pre-emphasis. The results are for typical multichannel FDMFM bands 12 to 36 kHz, 12 to 60 kHz, 12 to 156 kHz, and 12 to 252 kHz.Keywords
Baseband; Communications technology; Convolution; Frequency domain analysis; Frequency modulation; Probability density function; RF signals; Radio frequency; Reflection; Signal analysis;
fLanguage
English
Journal_Title
Communication Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9332
Type
jour
DOI
10.1109/TCOM.1968.1089844
Filename
1089844
Link To Document