宽带系统中有记忆大功率功放的数字预失真器研究

针对高峰均比的宽带输入信号,提出了一套联合峰均比抑制技术和基带自适应预失真技术的数字预失真器设计方案,并仿真了峰值抵消算法和自适应预失真算法.结果表明对于峰均比为8.4 dB的输入信号,经过1.5 dB的削峰处理后,预失真器改善带外频谱抑制27 dB,非常有效地补偿了功放的非线性失真,提高了功放效率,对发射机功放线性化技术有一定的实用价值.     

记忆多项式数字预失真线性化逆E类功放

采用记忆多项式模型的数字预失真器,用于线性化逆E类射频功率放大器,从而获得具有高线性和高效率的射频放大系统,使得开关型的逆E类功率放大器可以适用于具有非恒包络的调制信号的发射。文中设计了一个工作于S频段的具有10W饱和功率的逆E类功率放大器,以具有5MHz信号带宽的单载波WCDMA信号作为测试信号,使用记忆多项式的预失真器对其进行线性化。实验表明,该记忆多项式预失真器能够很好地抑制逆E类功放的动态非线性引起的带外寄生频谱,可以使逆E类功放同时工作于高线性和高效率状态。     

移动通信系统中宽带功放线性化设计与仿真

自适应数字预失真技术能够解决宽带高峰均比信号经过功放产生的非线性失真问题.主要介绍了自适应数字预失真的结构、预失真器的数学模型及相关的自适应算法.仿真结果表明采用自适应数字预失真技术能够显著地改善功放输出信号的带外频谱失真,是一种有效、灵活的技术.     

基于数/模混合预失真技术的功放线性化北大核心CSCD

随着移动通信信号带宽的增加,传统功率放大器数字预失真线性化技术越来越受到采样率的限制。为了使线性化效果更好,文中提出了一种数字预失真和模拟预失真相结合的混合预失真器,利用模拟预失真宽带宽的特点和数字预失真线性化能力强的优势,把模拟预失真和数字预失真融合在一起,共同补偿功放的非线性。由于受实验设备采样率的限制,文中采用了带宽为60 MHz的5 G NR信号对一个中心频率为3.5 GHz的射频功放进行实验验证。实验结果表明:提出的混合预失真器不仅优于单独的数字预失真器和模拟预失真器的非线性矫正性能,而且还能改善数字预失真因采样率限制无法改善的带外互调失真。     

广义记忆型神经网络射频功放数字预失真器

提出了一种基于广义记忆型神经网络(GMNN)的数字预失真器非线性模型,以更好地抑制由于射频功放动态非线性导致的带内失真以及带外频谱扩展等问题。通过引入时间上的超前项,使得功放模型的记忆效应建模能力得以扩展,通过添加高阶非线性级数,使得功放非线性建模精度进一步提高。文中使用带宽为20 MHz 的4载波WCDMA 信号作为测试信号,对一个中心频率为460 MHz 的60W Doherty 射频功放进行数字预失真线性化实验。实验结果表明,广义记忆型神经网络数字预失真器的带外抑制可达19 dB,能更有效地抑制射频功放的带外频谱扩展,相比于其他几种预失真器展现出更好的线性化效果,验证了广义记忆型神经网络数字预失真器的有效性。     

功放数字预失真技术现状及未来发展

功放是无线通信发射机的重要组成部分,随着无线通信的不断发展,对宽带线性功放的要求也越来越高。然而,功放的非线性特性和记忆效应会导致信号严重失真。为了减小带内失真和邻道干扰,数字预失真成为功放线性化技术中最有发展潜力的技术。介绍了功放模型,数字预失真的学习结构、数字预失真器参数的辨识算法等研究现状,探讨了数字预失真的发展趋势,为今后数字预失真技术的研究提供参考。     

基于增强型LSTM神经网络的5G射频功放线性化

本文提出了一种基于增强型LSTM神经网络(A-LSTM)的数字预失真线性化模型,以更好的补偿5G宽带射频功放的动态非线性特性。模型的输入层在引入延迟抽头模拟功放线性记忆效应的基础上,对每一个延迟抽头进行非线性级数展开用于补偿功放的非线性记忆效应,从而更好地抑制功放的动态非线性失真导致的带内失真以及带外频谱扩展等问题。为验证模型的有效性,本文采用100MHz的5GNR信号作为测试信号,对一个中心频率为2.6GHz的5G射频功放进行数字预失真线性化实验。实验结果表明,基于增强型LSTM神经网络数字预失真器的带外抑制可达16dB,相比于其他几种预失真器展现出更好的线性化效果,验证了基于增强型LSTM神经网络数字预失真器的有效性。     

一种新的用于有记忆功放的查找表预失真器

 针对有记忆非线性功放提出了一种新的基于查找表的记忆型预失真器.该记忆型预失真器采用无记忆预失真器的级联扩展,其横向滤波器结构相比记忆多项式方法降低了复杂度,却能够得到与其相近的线性化效果.并且针对查找表固有的量化误差大和自适应收敛速度慢的缺点,分别采用线性内插和加权窗迭代更新的方法加以改进.在非线性功放的记忆多项式模型下,通过多载波WCDMA宽带信号和OFDM宽带信号验证了基于查找表的记忆型预失真器的良好线性化效果和改进方法的有效性.     

卫星通信中的数字基带预失真技术研究

数字基带预失真技术是克服高功率放大器非线性失真最有效的方法之一。早期对预失真技术的研究大多局限与无记忆非线性，但对于宽带和多载波应用。记忆非线性失真将不能再被忽略，无记忆预失真非线性补偿机制可能失效。文中研究了卫星通信系统中大功率记忆非线性功放的自适应基带预失真线性化技术，提出了一种基于记忆多项式的非直接学习结构的自适应基带预失真方案，给出了自适应算法。仿真结果表明，该方案能有效抑制带外频谱扩散，减小带内失真，降低误比特率，实现有记忆非线性大功率放大器的自适应预失真。     

查找表联合记忆效应补偿技术的宽带自适应预失真算法

为了能够对记忆型功率放大器线性化处理,并能一定程度克服其记忆效应,该文介绍一种自适应数字预失真器。该数字预失真器采用查找表与记忆效应补偿技术相结合的方法,并且利用内插值方法有效减小了查找表幅度量化过程产生的误差。相比记忆多项式预失真器,这种预失真器的计算复杂度较小,却能够得到与其相近的线性化效果。基于功率放大器记忆多项式模型,利用OFDM(Orthogonal Frequency Division Multiplexing)宽带信号验证该文提出的预失真器对记忆型非线性功率放大器的良好线性化效果。     

Digital subband filtering predistorter architecture for wireless transmitters

In this paper, a new architecture for baseband digital predistortion dedicated to wide-band transmissions is presented. The proposed predistorter consists of a cascade of a static lookup-table-based predistorter and a subband filtering block. The subband filtering technique is used to improve the correction bandwidth limitation of conventional architectures. The cases of four- and eight-subband decomposition were considered and compared to the case where the full-band signal is processed. This revealed that the subband processing results in a better sensitivity and an independent tuning ability of the predistorter at each subband. In addition, it was shown that, in the proposed predistorter, the computational complexity and the required processing speed are reduced proportionally to the number of subbands. Moreover, in an adaptive digital predistortion context, a quicker convergence can be achieved. Experimental validation of the subband-based predistortion concept was successfully carried on a 100-W peak envelop power lateral double diffused metal-oxide semiconductor power amplifier.     

Digital linearizer for RF amplifiers

Broadcast technology is at the beginning of a new era. It is characterized by the intensive use of the most advanced digital modulation formats (8VSB, QAM, OFDM) in combination with high power RF amplifiers. To date the linearity required for these digital formats has only been accomplished in cumbersome low efficiency class A amplifier or even more cumbersome feed-forward systems. A potentially more efficient and cost effective approach is the combination of nonlinear power amplifiers and a predistortion technique capable of compensating for the nonlinear amplifiers. Digital predistortion will provide a highly linear output and improved efficiency. Itelco has developed a digital adaptive base band predistorter to provide for improved performance and cost. The technique is independent of the modulation type, the output frequency, or the signal bandwidth. Furthermore the capability of automatic adaptive predistortion to compensate for the environment (temperature, power supply variations, aging, and even operation during replacement of a faulty module) is highly desirable     

广义改进型Hammerstein预失真器的实现方法及验证

射频功率放大器与生俱来的非线性是无线通信前端设计需要解决的核心问题之一。根据广义改进型Hammerstein功率放大器非线性模型,提出一种应用于射频功放线性化的新型数字预失真器——广义改进型Hammerstein(Generalized Augmented Hammerstein, GAH)预失真器,并给出了该预失真器的实现方法。另外,为了精确分析GAH 预失真器的性能,采用实际功放的输入输出数据进行仿真和实验。被测功放为中心频率1960 MHz,带宽40 MHz, 输出功率45 dBm的Doherty功放。仿真和实验证明：提出的数字预失真器不仅计算复杂度远低于记忆多项式（Memory Polynomial,MP）和分数阶记忆多项式（Fractional Memory Polynomial, FMP）预失真器,而且其线性化能力也强于AH、MP及FMP等预失真器。     

用于5G RF PA 线性化的多频段通用数字预失真器

文中提出了一种基于独热编码与长短时期记忆 (LSTM) 神经网络的多频段通用数字预失真非线性 模型,它可以有效地对工作在多个频段的宽带射频功放进行线性化。在训练集中引入表示不同频率信号的不同独 热编码,训练后的神经网络非线性模型可以在不改变网络结构和模型参数的情况下对不同频段的功率放大器进行 预失真线性化。为了验证该方法的有效性,建立了两个分别工作于2. 6 GHz 和4. 9 GHz 的射频功放实验平台,在这 两个频段预失真非线性建模的归一化均方误差(NMSE)均可达到-40 dB,然后使用100 MHz 带宽5G NR 信号,分别 对这两个射频功放进行预失真线性化实验验证。实验结果表明,该多频段通用数字预失真器可以将这两个功放的 邻信道泄漏比(ACLR)在中心频率下偏100 MHz 处分别改善19. 42 dB 和17. 91 dB,在中心频率上偏100 MHz 处分 别改善15. 73 dB 和15. 17 dB,验证了所提非线性模型的有效性。     

一种基于LS/SVD的基带预失真算法

自适应基带预失真技术是用于补偿高功率放大器非线性失真的一种有效技术。早期对预失真的研究大多局限于无记忆非线性,但对于OFDM等宽带应用,放大器的记忆效应明显。介绍了一种基于最小二乘奇异值分解(LS/SVD)的自适应算法来实现有记忆非线性功放的自适应基带预失真。仿真结果表明,该方案用于正交频分复用(OFDM)系统中能有效抑制带外频谱扩散,减小带内失真,实现有记忆非线性功率放大器的自适应预失真。     

一种用于补偿卫星通信信道记忆非线性的数字基带预失真技术

研究了卫星通信系统中记忆非线性信道的自适应数字基带预失真线性化技术,提出了一种基于记忆多项式的非直接学习结构的自适应基带预失真方案,给出了自适鹰算法。仿真结果表明,该方案能有效抑制带外频谱扩散,减小带内失真,降低误比特率,实现卫星通信系统中记忆非线性失真的自适应预失真。     

Adaptive digital/RF predistortion using a nonuniform LUT indexing function with built-in dependence on the amplifier nonlinearity

This paper reports on an integrated adaptive digital/RF predistorter using a nonuniform spaced lookup table (LUT) and in-phase/quadrature (I/Q) RF vector multiplier (VM). The LUT contents are directly deduced from the baseband input and output signals of the power amplifier (PA). In addition, a new nonlinear indexing function of the predistortion LUT with built-in dependence on the PA nonlinearity is proposed. This function is made to be robust to the input signal statistics. A comparison of this new indexation method with conventional approaches, namely, power and logarithmic power indexation functions, is carried out. The superiority of the proposed scheme is demonstrated in particular for class-AB amplifiers where the gain of the PA varies over the whole input range of the drive signal. The measured output spectrum of a linearized 90-W peak lateral double-diffused metal-oxide-semiconductor PA reveals a significant reduction of the power emission at the adjacent channels of approximately 15 dB under IS95, single-carrier, and multicarrier wide-band code-division multiple-access signals. The experimental evaluation is carried out using an RF/digital predistorter prototype that mainly includes an envelope detector, a linear I/Q RF VM, field-programmable gate array and digital signal processor, and fast analog/digital and digital/analog converters.     

From post-distortion to pre-distortion for power amplifiers linearization

This letter presents a new method of digital adaptive pre-distortion for linearization of power amplifiers (PA). The method is derived from a post-distortion approach which identifies the PA inverse function. This approach leads to the minimization of a quadratic function of the polynomial coefficients in the case of a polynomial predistorter form and a least square criterion. We have compared our solution to a method previously proposed by Ghaderi (1996) that was also based on the transformation of a post-distortion into a pre-distortion system. We have tested our predistorter (along with a baseband adaptation of Ghaderi's) on OFDM Hiperlan signals. Both methods significantly reduced the signal distortion and the spectral regrowth. Our less complex approach proved to be even better for small peak back off values.