A Hammerstein predistortion linearization design based on the indirect learning architecture

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 3, Issue , 2002, Pages

  Ding, Lei ^a   Raich, Raviv ^a   Zhou, G Tong ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH; IDENTIFICATION (CONTROL SYSTEMS); LINEARIZATION; MATHEMATICAL MODELS; MOBILE TELECOMMUNICATION SYSTEMS; POWER AMPLIFIERS; SIGNAL DISTORTION;

HAMMERSTEIN PREDISTORTION LINEARIZATION; INDIRECT LEARNING ARCHITECTURE; WIENER SYSTEM;

DIGITAL SIGNAL PROCESSING;

EID: 0036287891     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5745202     Document Type: Conference Paper

References (7)

1. An optimal two stage identification algorithm for Hammerstein-Wiener nonlinear systems
2. Time-domain envelope measurement technique with application to wideband power amplifier modeling
3. Use of Hammerstein models in identification of nonlinear systems
4. A predistorter design for a memory-less nonlinearity proceded by a dynamic linear system
5. On compensating nonlinear distortions of an OFDM system using an efficient adaptive predistorter
6. Measurement technique for characterizing memory effects in RF power amplifiers