Adaptive Predistortion Using Cubic Spline Non linearity Based Hammerstein Modeling

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	Adaptive Predistortion Using Cubic Spline Non linearity Based Hammerstein Modeling
	Wu, Xiaofang ; Shi, Jianghong ; Wu XF(吴晓芳) ; Shi JH(石江宏)
刊名	http://dx.doi.org/10.1587/transfun.E95.A.542
	2012-02
关键词	RF POWER-AMPLIFIERS ORTHOGONAL POLYNOMIALS DIGITAL PREDISTORTION VOLTERRA SERIES IDENTIFICATION DESIGN
英文摘要	Ph.D. Programs Foundation of Ministry of Education of China [20100121120020]; Major Science and Technology Special Project of Fujian Province, China [2009HZ0003-1]; In this paper, a new Hammerstein predistorter modeling for power amplifier (PA) linearization is proposed. The key feature of the model is that the cubic splines, instead of conventional high-order polynomials, are utilized as the static nonlinearities due to the fact that the splines are able to represent hard nonlinearities accurately and circumvent the numerical instability problem simultaneously. Furthermore, according to the amplifier's AM/AM and AM/PM characteristics, real-valued cubic spline functions are utilized to compensate the nonlinear distortion of the amplifier and the following finite impulse response (FIR) filters are utilized to eliminate the memory effects of the amplifier. In addition, the identification algorithm of the Hammerstein predistorter is discussed. The predistorter is implemented on the indirect learning architecture, and the separable nonlinear least squares (SNLS) Levenberg-Marquardt algorithm is adopted for the sake that the separation method reduces the dimension of the nonlinear search space and thus greatly simplifies the identification procedure. However, the convergence performance of the iterative SNLS algorithm is sensitive to the initial estimation. Therefore an effective normalization strategy is presented to solve this problem. Simulation experiments were carried out on a single-carrier WCDMA signal. Results show that compared to the conventional polynomial predistorters, the proposed Hammerstein predistoner has a higher linearization performance when the PA is near saturation and has a comparable linearization performance when the PA is mildly nonlinear. Furthermore, the proposed predistorter is numerically more stable in all input back-off cases. The results also demonstrate the validity of the convergence scheme.
语种	英语
出版者	IEICE T FUND ELECTR
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/92376]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Wu, Xiaofang,Shi, Jianghong,Wu XF,et al. Adaptive Predistortion Using Cubic Spline Non linearity Based Hammerstein Modeling[J]. http://dx.doi.org/10.1587/transfun.E95.A.542,2012.
APA	Wu, Xiaofang,Shi, Jianghong,吴晓芳,&石江宏.(2012).Adaptive Predistortion Using Cubic Spline Non linearity Based Hammerstein Modeling.http://dx.doi.org/10.1587/transfun.E95.A.542.
MLA	Wu, Xiaofang,et al."Adaptive Predistortion Using Cubic Spline Non linearity Based Hammerstein Modeling".http://dx.doi.org/10.1587/transfun.E95.A.542 (2012).