DocumentCode
1250642
Title
Optimum precompensation filters for IQ modulation systems
Author
Tuthill, John ; Cantoni, Antonio
Author_Institution
Cooperative Res. Centre, Curtin Univ. of Technol., Perth, WA, Australia
Volume
47
Issue
10
fYear
1999
fDate
10/1/1999 12:00:00 AM
Firstpage
1466
Lastpage
1468
Abstract
We present a technique for digitally precompensating for shortcomings in signal reconstruction filters in an IQ modulation system. Optimum digital precompensation filters are found using least squares (LS) techniques. The optimization problem is formulated in the frequency-domain, and the optimum LS solution is characterized using an eigenanalysis approach
Keywords
FIR filters; circuit optimisation; continuous phase modulation; eigenvalues and eigenfunctions; frequency shift keying; frequency-domain analysis; least squares approximations; modulators; signal reconstruction; IQ modulation systems; eigenanalysis approach; frequency-domain; least squares; optimization problem; optimum digital precompensation filters; optimum precompensation filters; signal reconstruction filters; Analog-digital conversion; Digital filters; Digital modulation; Finite impulse response filter; Least squares methods; Nonlinear distortion; Nonlinear filters; Power amplifiers; Signal generators; Signal reconstruction;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.795813
Filename
795813
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