A. Behravan
Department of Signals and Systems, Chalmers University of Technology, Sweden
T. Eriksson
Department of Signals and Systems, Chalmers University of Technology, Sweden
A. Svensson
Department of Signals and Systems, Chalmers University of Technology, Sweden
H. Zirath
Department of Microtechnology and Nanoscience, Chalmers University of Technology, Sweden
Ladda ner artikelIngår i: GigaHertz 2003. Proceedings from the Seventh Symposium
Linköping Electronic Conference Proceedings 8:5, s.
Publicerad: 2003-11-06
ISBN:
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In this paper we present and compare several models of compensating the nonlinearity of the RF front-end of a wireless system. The baseband compensation techniques have gained more attentions due to the simplicity of DSP implementation and also utilizing adaptive algorithms. Two baseband compensation techniques; namely predistortion and postdistortion (equalization) of the baseband signal are discussed and teh problems associated with each one is addressed. Furthermore a combination of a predistorter and a nonlinear equalizer is studied. It is shown that under realistic conditions with a frequently saturated amplifier and ISI channel; the latter methods is able to compensate the nonlinearity up to a good extent; while the first two methods can only operate under certain channel conditions and nonlinearity type.
[1] S. Pupolin ans L.J. Greenstein; “Performance analysis of of digital radio links with nonlinear transmit amplifier;” IEEE Journal on Selected Areas in Communications; vol. 5; pp.534–536; Apr. 1987.
[2] G. Karam and H. Sari; “Analysis of predistortion; equalization; and ISI cancellation techniques in digital radio systems with nonlinear transmit amplifier;” IEEE Transactions on Communications; vol. 37; pp.1245–1253; Dec. 1989.
[3] G. Lazzarin; S. Pupolin and A. Sarti; “Nonlinearity compensation in digital radio systems;“ IEEE Transactions on Communications; vol. 42; pp.988–999; Feb. 1994.
[4] D.S. Han and T. Hwang; “An adaptive pre-distorter for the compensation of HPA nonlinearity;“ IEEE Transactions on Broadcasting; vol. 46; pp.152–157; June 2000.
[5] C. Eun and E.J. powers; “A predistorter design for a memory-less nonlinearity preceded by a dynamic linear system;“ Proceeding of the IEEE Global communications conference; pp.152–156; Nov. 1995.
[6] H. Besbes and T. Le-Ngoc; “A fast adaptive predistorter for nonlinearlyamplified M-QAM signal;“ Proceeding of the IEEE Global communications conference; vol. 1; pp.108–112; Nov.-Dec. 2000.
[7] A. Papoulis and S. Unnikrishna; “A fast adaptive predistorter for nonlinearly amplified M-QAM signal;“ Probability; Random Variables and Stochastic Processes; McGraw-Hill; 2001.