Selection of Compressed Training Data for RF Power Amplifier Behavioral Modeling

被引：0
作者：
Wang, Ziming [1 ]
Dooley, John [1 ]
Finnerty, Keith [1 ]
Farrell, Ronan [1 ]
机构：
[1] Natl Univ Ireland Maynooth, Dept Elect Engn, Maynooth, Kildare, Ireland
来源：
2015 10TH EUROPEAN MICROWAVE INTEGRATED CIRCUITS CONFERENCE (EUMIC) | 2015年
关键词：
Digital Predistortion; Behavioural Modelling; Least Square; Probability Distribution;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, we present an algorithm which uses the probability information of the input signal to inform the selection of a compressed training dataset for RF PA behavioural model extraction. The proposed algorithm can dramatically reduce the number of training samples. The accuracy of this algorithm is validated by extraction of behavioural models using a large dataset of consecutive samples and a reduced training dataset determined using the proposed algorithm. A noticeable reduction in computational complexity and faster execution time is achieved with the new approach.
引用
收藏
页码：53 / 56
页数：4
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