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

被引：95

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

页码：3578 / 3587

页数：10

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