DocumentCode :
1530525
Title :
Characterization of spectral regrowth in microwave amplifiers based on the nonlinear transformation of a complex Gaussian process
Author :
Gard, Kevin G. ; Gutierrez, Hector M. ; Steer, Michael B.
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
Volume :
47
Issue :
7
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
1059
Lastpage :
1069
Abstract :
A statistical technique is presented for the characterization of spectral regrowth at the output of a nonlinear amplifier driven by a digitally modulated carrier in a digital radio system. The technique yields an analytical expression for the autocorrelation function of the output signal as a function of the statistics of the quadrature input signal transformed by a behavioral model of the amplifier. The amplifier model, a baseband equivalent representation, is derived from a complex radio-frequency envelope model, which itself is developed from readily available measured or simulated amplitude modulation-amplitude modulation and amplitude modulation-phase modulation data. The technique is used in evaluating the spectral regrowth for a CDMA signal
Keywords :
Gaussian processes; cellular radio; code division multiple access; correlation theory; digital radio; digital signals; microwave amplifiers; modulation; spectral analysis; statistical analysis; CDMA signal; RF envelope model; amplifier model; autocorrelation function; baseband equivalent representation; behavioral model; complex Gaussian process; digital radio system; digitally modulated carrier; microwave amplifiers; nonlinear amplifier; nonlinear transformation; quadrature input signal; spectral regrowth characterisation; statistical technique; Amplitude modulation; Autocorrelation; Baseband; Digital communication; Digital modulation; Microwave amplifiers; Radio frequency; Radiofrequency amplifiers; Signal analysis; Statistical analysis;
fLanguage :
English
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9480
Type :
jour
DOI :
10.1109/22.775437
Filename :
775437
Link To Document :
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