A low-rate identification method for digital predistorters based on Volterra kernel interpolation
Analog Integrated Circuits and Signal Processing
Prototype implementation of two efficient low-complexity digital predistortion algorithms
EURASIP Journal on Advances in Signal Processing
A Novel Scheme for Power Amplifier Predistortion Based on Indirect Learning Architecture
Wireless Personal Communications: An International Journal
New adaptive method for IQ imbalance compensation of quadrature modulators in predistortion systems
EURASIP Journal on Advances in Signal Processing
Polynomial predistortion technique for PA non-linearities using IDLA scheme
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 2
Multichannel fast QR-decomposition algorithms: weight extraction method and its applications
IEEE Transactions on Signal Processing
RWS'10 Proceedings of the 2010 IEEE conference on Radio and wireless symposium
Digital predistortion for power amplifiers using separable functions
IEEE Transactions on Signal Processing
Digital feedforward compensation scheme for the non-linear power amplifier with memory
International Journal of Intelligent Systems Technologies and Applications
Analysis of adaptive digital feedback linearization techniques
IEEE Transactions on Circuits and Systems Part I: Regular Papers
EURASIP Journal on Advances in Signal Processing
A Novel NN-Predistorter Learning Method for Nonlinear HPA
Wireless Personal Communications: An International Journal
Hi-index | 35.69 |
Nonlinear compensation techniques are becoming increasingly important. We present a new Volterra-based predistorter, which utilizes the indirect learning architecture to circumvent a classical problem associated with predistorters, namely that the desired output is not known in advance. We utilize the indirect learning architecture and the recursive least square (RLS) algorithm. Specifically, we propose an indirect Volterra series model predistorter which is independent of a specific nonlinear model for the system to be compensated. Both 16-phase shift keying (PSK) and 16-quadrature amplitude modulation (QAM) are used to demonstrate the efficacy of the new approach