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工程科学与技术:2014,46(1):107-113
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基于改进型广义分数阶记忆多项式的Doherty功放线性化器
(1.宁波大学 信息科学与工程学院;2.南阳师范学院 物理与电子工程学;3.云南大学 信息学院)
Linearizer for Doherty Power Amplifiers Based on Augmented General Fractional Order Memory Polynomial
(1.College of Info. Sci. and Eng.,Ningbo Univ.;2.College of Physics & Electronic Eng.,Nanyang Normal Inst.;3.School of Info. Sci. and Eng.,Yunnan Univ.)
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投稿时间:2013-03-07    修订日期:2013-12-25
中文摘要: 为了能够有效抑制Doherty射频功放的强非线性,提出了基于改进型广义分数阶记忆多项式非线性模型,并采用该模型设计数字预失真线性化器。改进型广义分数阶记忆多项式(AGFMP)模型是在广义记忆多项式(GMP)模型的基础上去除滞后项,从而减少系数数量,并将偶数阶项去掉,引入分数阶项,以提高线性化能力。采用双波段双模式信号(信号带宽为25 MHz)和1000001 CDMA2000信号作为测试信号,设计输出峰值为51 dBm的Doherty功放作为测试功放进行建模和线性化试验。实验结果表明,无论在强记忆效应还是强静态非线性时,AGFMP的系数数量比GMP减少30%,且具有与GMP相似的线性化能力,同时比分数阶记忆多项式具有更优的带内和带外交调抑制能力。
Abstract:In order to effectively restrain the strong nonlinearity of Doherty power amplifiers (DPA), an augmented general fractional order memory polynomial model (AGFMP) was proposed,and used to design a digital predistortion linearizer. AGFMP model was on the basis of general memory polynomial (GMP), removing a lag and replace even order items by fractional order items to reduce the number of parameters and improve the lianearization ability. The dual-band dual-mode signal (bandwidth up to 25 MHz) and 1000001 CDMA2000 signal were used as test signal, and DPA which designed with the peak power of 51 dBm was utilized as test power amplifier to do the linearize experiment. The experimental results showed that the numbers of the parameters of AGFMP are 30% less than GMP in terms of the strong memory effect and static nonlinear. Moreover, linearization ability of the AGFMP is very close to that of GMP. In addition, it is better than the fractional order memory polynomial for the suppression IMD out of band and in-band.
文章编号:201300147     中图分类号:    文献标志码:
基金项目:国家自然科学基金资助项目(61171040);浙江省重大科技专项重点国际合作项目(2010C14007);浙江省自然科学基金资助项目(Y1101270)
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刘太君,惠明,叶焱,申东娅,张萌.基于改进型广义分数阶记忆多项式的Doherty功放线性化器[J].工程科学与技术,2014,46(1):107-113.
Liu Taijun,Hui Ming,Ye Yan,Shen Dongya,Zhang Meng.Linearizer for Doherty Power Amplifiers Based on Augmented General Fractional Order Memory Polynomial[J].Advanced Engineering Sciences,2014,46(1):107-113.