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
fDate :
10/1/1999 12:00:00 AM
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;
Journal_Title :
Communications, IEEE Transactions on
