Information criteria based optimal structure identification of RF power amplifier models

Author:

Bhavanam Srinadh Reddy1,R V Sanjika Devi1,Mudulodu Sriram2,Kurup Dhanesh G.1

Affiliation:

1. Department of Electronics and Communication Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, India

2. RF and Baseband team, Redpine Signals, Raheza Mindspace, Hi-Tech City, Hyderabad, India

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference24 articles.

1. A robust digital baseband predistorter constructed using memory polynomials;Ding;IEEE Trans Commun,2004

2. A. Zhu , M. Wren and T.J. Brazil , An efficient Volterra based behavioral modeling of wideband RF power amplifiers, IEEE MTT-S International Microwave Symposium, Philadelphia, USA, 2003.

3. A. Ahmed , E.R. Srinidhi and G. Kompa , Neural network and memory polynomial methodologies for PA modeling, Proc IEEE 7th International Conference on Telecommunications, 2005.

4. R.V. Sanjika Devi and D.G. Kurup , Behavioral modeling of RF power amplifiers for designing energy efficient wireless systems, Proc IEEE International Conference on Wireless Communications, Signal Processing and Networking, Chennai, India, 2017.

5. Broadband measurement and identification of Wiener-Hammerstein model for an RF amplifier;Crama;60th ARFTG Conf Dig,2002

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2. Behavioral modeling and digital predistortion of RF power amplifiers based on time-delay kernel ridge regression;AEU - International Journal of Electronics and Communications;2022-07

3. A Novel Baseband Generation Method for Modeling RF Power Amplifiers for Bit Error Rate Computations;Wireless Personal Communications;2021-04-27

4. Optimization of digital predistortion models for RF power amplifiers using a modified differential evolution algorithm;AEU - International Journal of Electronics and Communications;2020-09

5. Soft computing and intelligent systems: techniques and applications;Journal of Intelligent & Fuzzy Systems;2019-03-26

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