Orthogonal Polynomials Based Complex Gaussian Processes of Nonlinear Power Amplifier for 5G Wireless Communication Systems

Ditthawat Songratthaset, S. Pattaramalai
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Abstract

In this paper, an orthogonal polynomial based complex Gaussian process of nonlinear power amplifier for the filter bank multicarrier modulation (FBMC) systems is proposed. One of the most challenging problems for the FBMC systems is a non-linear distortion caused by a high power amplifier (HPA). Due to the signals for the FBMC communication scenario are modeled as a complex-Gaussian distribution, an analytical expression of the HPA characteristic based on an orthogonal polynomial method by using an upper triangle solution for complex-Gaussian process is derived in this paper. To ensure the robustness of the proposed orthogonal polynomials, the different input distribution such as an exponential and Rayleigh distribution is investigated. In the simulation, a normalized mean squared error (NMSE) and the probability of error performances (BER) in the additive white Gaussian noise (AWGN) channel and the frequency-selective Rayleigh fading channel of the proposed orthogonal polynomial method is determined. Simulation results show that the proposed orthogonal polynomial method significantly outperforms the conventional polynomial method. Furthermore, the proposed orthogonal polynomial based complex-Gaussian input distribution is superior to the exponential, and Rayleigh input distribution in terms of both NMSE and BER performance.
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基于正交多项式的5G无线通信系统非线性功率放大器复高斯过程
针对滤波器组多载波调制(FBMC)系统,提出了一种基于正交多项式的非线性功率放大器复高斯过程。高功率放大器(HPA)引起的非线性失真是FBMC系统最具挑战性的问题之一。由于FBMC通信场景的信号建模为复高斯分布,本文利用复高斯过程的上三角解,导出了基于正交多项式方法的HPA特性解析表达式。为了保证所提出的正交多项式的鲁棒性,研究了不同的输入分布,如指数分布和瑞利分布。在仿真中,确定了正交多项式方法在加性高斯白噪声信道和频率选择瑞利衰落信道下的归一化均方误差(NMSE)和误码率(BER)。仿真结果表明,所提出的正交多项式方法明显优于传统的多项式方法。此外,本文提出的基于正交多项式的复高斯输入分布在NMSE和BER性能方面都优于指数和瑞利输入分布。
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