Deembedding static nonlinearities and accurately identifying and modeling memory effects in wide-band RF transmitters

被引：93
作者：
Liu, TJ [1 ]
Boumaiza, S
Ghannouchi, FM
机构：
[1] Ecole Polytech, Dept Elect Engn, Poly Grames Res Ctr, Montreal, PQ H3T 1J4, Canada
[2] Univ Calgary, Intelligent RF Radio Lab, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada
来源：
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES | 2005年 / 53卷 / 11期
关键词：
augmented Wiener model; dynamic exponential weighted moving average; memory effects; wide-band transmitters; Wiener model;
D O I：
10.1109/TMTT.2005.857105
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a robust modeling technique for memoryless wide-band radio frequency transmitters using a dynamic exponential weighted moving average algorithm is developed and tested. To improve the relatively limited accuracy of the conventional Wiener model in predicting the response of dynamic nonlinear transmitters, a new augmented Wiener model is proposed along with its parameter-identification procedure. The accuracy of the augmented Wiener model is compared with that of the conventional Wiener model by using an L-band 60-W peak-envelope-power GaAs field-effect-transistor push-pull amplifier-based transmitter, which is driven by a two-carrier wide-band code-division multiple-access signal.
引用
收藏
页码：3578 / 3587
页数：10
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