Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
Neural network predistortion technique for digital satellite communications
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
A Novel Scheme for Power Amplifier Predistortion Based on Indirect Learning Architecture
Wireless Personal Communications: An International Journal
Neural Network Predistortion Technique for Nonlinear RF Amplifiers
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 04
Novel Adaptive Nonlinear Predistorters Based on the Direct Learning Algorithm
IEEE Transactions on Signal Processing
An adaptive nonlinear prefilter for compensation of distortion innonlinear systems
IEEE Transactions on Signal Processing
A new Volterra predistorter based on the indirect learningarchitecture
IEEE Transactions on Signal Processing
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The deficiency of predistortion performance exists in indirect NN (Neural Network)-predistorter learning methods for nonlinear high power amplifiers (HPAs), and direct NN-predistorter learning methods possess great computational complexity. To circumvent these problems, in this paper we propose a novel NN-predistorter learning method with its structure developed by using some properties of nonlinear operators and its corresponding algorithm derived by using an approximation formula. The proposed method is based on the identification of NN post-distorter of the HPA, and then directly implements the efficient Levenberg-Marquardt back propagation algorithm. Thus, compared with the direct NN-predistorter learning method, our proposed method reduces the computational complexity and still keeps slightly better predistortion performance. Theoretical analysis and simulation results also show our proposed method outperforms the indirect NN-predistorter learning method in the term of about 5 dB adjacent channel power ratio improvement.