基于神经网络的自适应预失真技术研究

由于放大器固有的非线性特性,通信时会产生带内失真和临道干扰等问题,会对通信系统性能造成严重影响.为了克服放大器非线性特性,需要进行线性化处理.首先对功率放大嚣的非线性失真进行数学分析,简单介绍预失真技术的基本原理;其次在简单介绍神经网络的基础上提出一种简单的单入单出式神经网络自适应数字基带预失真技术.该技术能很好地改善三阶互调和五阶互调分量,且与一般多项式拟合预失真技术相比,在收敛速度和硬件实现难易程度上都有一定的优势.最后以双音信号为例进行了Matlab仿真.仿真结果印证了该技术的优势.     

基于BP神经网络的功放自适应预失真

提出用神经网络的方法来实现功放的自适应预失真模型。它利用BP神经网络的函数逼近能力，来学习功放预失真器的MM/AM、AM/PM特性函数，以抵消由于功放非线性引起的信号失真和交扰；同时，也通过自适应地调整幅度和相位两个神经网络的权、阈值，来跟踪放大器的特性变化。仿真结果证实了基于神经网络的预失真模型的有效性和低复杂性。     

基于有理函数的级联自适应预失真器

提出用有理函数来实现级联自适应预失真器,用于移动发射机中的功率放大器线性化.基于极坐标形式的自适应有理函数预失真器具有实现简单和收敛速度快等优点.通过对行波管功率放大器的非线性幅度和相位特性的线性化、抑制互调失真能力等方面来表明基于有理函数级联自适应预失真器的行为特性.计算机的仿真结果表明:该方法具有较好的非线性补偿效果,且抑制性能好.     

一种预失真型线性化功率放大器及其特性

介绍一种采用平行式预失真器的预失真型线性化射频功率放大器。由于所采用的平行式预失真器的温度稳定性好、噪声低，且非线性特性与主放大器的非线性特性拟合效果好，使得由此构成的线性化功率放大器具有结构简单、线性化效果好、性能稳定等特点。给出了该线性化功率放大器的电路结构和工作原理，从理论上分析了该线性化功率放大器的工作特性，并利用专用的微波电路仿真工具进行仿真验证，结果表明这种预失真功率放大器具备良好的线性化特性。     

一种行波管用毫米波射频预失真线性化器

射频预失真是提高功率放大器线性度的一种有效手段,精确补偿放大器的非线性失真需保证幅度和相位补偿同时满足要求.针对Ka波段行波管放大器的线性化,提出一种新型射频预失真电路.该电路由前置、后置电平调节模块和基于矢量合成技术的非线性信号产生模块构成.改变两电平调节模块的增益,可实现补偿区间的调节;改变非线性信号产生模块中两支路的偏置电压,可实现预失真补偿量调节及幅度/相位的独立调节.将实际电路与配用Ka行波管联测,在输出功率回退6 dB时,行波管三阶互调系数提高约11.5 dBc.     

微波功率放大器非线性特性分析

为判断微波功率放大器非线性失真的主要影响因素,首先,在传统幂级数模型的基础上对功率放大器的非线性幅度失真和相位失真进行拟合,基于包络分析法给出了功率放大器非线性失真与幅度和相位失真间的解析关系;其次,对幅度失真和相位失真引起的非线性失真进行了分析,给出了两者之间的等效失真关系式,据此可对任意给定的功率放大器进行分析,以确定非线性失真的主要影响因素,并用于指导模拟预失真线性化器的设计与调试;最后,通过对一Ka频段行波管放大器的非线性测试及模拟预失真线性化,验证了所提出的功率放大器非线性分析的正确性及幅相等效失真关系式的有效性。     

射频功放的立方预失真线性化技术

预失真技术是射频功率放大器线性化技术中的一种,与其他线性化技术相比具有电路简单可靠、性能优良、成本低廉等优点。立方预失真技术是其中的一种,该技术易于设计调试,且性能优良。对射频功率放大器的非线性特性进行了深入的理论分析,剖析了非线性失真产生的根源。说明了预失真技术的工作原理和结构,重点讨论了立方预失真器的原理和结构,并且给出了理论和实际系统的仿真结果。     

一种新的用于射频功率放大器的预失真法

改善射频功率放大器非线性的方法通常有功率回退法、负反馈法、前馈法和预失真法。预失真技术与其他线性化技术相比具有电路结构简单、性能优良、成本低等优点,因而受到设计者的青睐。设计了一种利用混频器和滤波器分别产生三阶和五阶交调分量的预失真器,采用复增益调节器控制预失真器产生的IMD3,IMD5幅度和相位。并从理论上对其特性进行了分析,利用专用的微波电路仿真工具进行仿真验证,仿真结果表明双音测试在2 GHz频段,IMD3和IMD5分别改善了17 dBc和12 dBc。     

基于幂级数多项式的基带预失真技术分析

为了减小功放的非线性,使系统实现线性输出,介绍了一种基于幂级数多项式的数字基带预失真技术,并论述了其基本原理和系统结构,最后从邻信道功率比(Adjacent Channel Power Ratio)、星座图、功放的幅度-幅度特性(AM-AM)三个方面进行了仿真,结果表明该预失真技术较传统的查询表预失真技术,不仅能节省大量的存储空间,而且能更好地纠正功放的非线性,预失真性能更优。     

基于OFDM的无线高速数传系统预失真算法研究

在卫星通信领域,OFDM技术以其卓越的性能受到人们的青睐,但他也存在一定的问题。针对OFDM系统放大器非线性失真这一问题,对3种主流预失真算法进行了研究分析,解决了相位突变问题,并通过仿真验证做出性能评估。     

基于改进型径向基函数神经网络的功放线性化

提出了一种基于改进型径向基函数神经网络(MRBFNN)的数字预失真线性化模型,用于更为精确地矫正宽带射频功率放大器的动态非线性。该神经网络模型的输入层使用传统的延时抽头以补偿功放的线性记忆效应,同时对每个抽头进行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。文中使用WCDMA 三载波信号对一个460MHz 的Doherty 功率放大器进行数字预失真线性化实验。实验结果表明,与传统数字预失真线性化模型相比,基于改进型径向基神经网络的数字预失真线性化模型能更好地抑制宽带功放动态非线性引起的带外频谱再生,其三阶互调(IMD3)失真最多可以抑制23dB,大大提高了功放的线性度,验证了所提出的数字预失真线性化模型的有效性。     

A W-band high-power predistorted direct-conversion digital modulator for transmitter applications

This letter presents a W-band high-power direct-conversion transmitter using digital predistortion techniques for digital modulation applications. The transmitter is a direct-conversion configuration that employs a reflection-type IQ modulator module and a power amplifier module. With the predistortion function in digital signal processing (DSP), this transmitter demonstrated an output channel power of greater than 19 dBm, and the adjacent channel power ratio (ACPR) was improved by 10 and 18 dB for QPSK and /spl pi//4-DQPSK modulation, respectively. To the best of our knowledge, this is the first demonstration of linearization techniques for W-band high-power digital modulation transmitters.     

A data predistortion technique with memory for QAM radio systems

The authors present an efficient data predistortion technique with memory for compensation of high-power amplifier (HPA) nonlinearities in digital microwave radio systems employing quadrature amplitude modulation (QAM) signal formats. A practical implementation method is described which trades off performance against complexity and which makes it possible to implement this kind of predistorter in 256-QAM, and higher-level QAM systems. Using the 16-, 64-, and 256-QAM signal constellations, it is shown that the proposed technique achieves a considerably higher performance than that of conventional memoryless data predistortion of the predistortion technique with memory based on finite-order inverses of nonlinear systems. Specifically, numerical results show that the proposed technique achieves a gain that is in excess of 2 dB over conventional memoryless data predistortion     

Complex gain and fixed-point digital predistorters for CDMA power amplifiers

Two digital baseband predistortion techniques, one based on the complex gain digital predistorter (CGDP) approach and the other based on the fixed-point predistorter (FPPD) approach, are used to compensate a nonlinear high-power amplifier (HPA) in an IS-2000 system. Forward-link performance for a perfectly linear HPA, nonlinear HPA, and compensated HPA using both a CGDP and an FPPD are compared using an IS-2000 forward-link simulator. Both predistortion techniques are shown to provide similar forward-link performance and reduction in spectral regrowth of the sidebands for the wide-band compensated HPAs utilized by IS-2000 systems.     

Data predistortion techniques using intersymbol interpolation

Two data predistortion techniques are presented that compensate for high-power amplifier (HPA) nonlinearities in digital microwave radio systems by employing quadrature amplitude-modulation (QAM) signal formats. The first one is a T/2-spaced predistortion technique that ensures distortion-free HPA output at two points per symbol interval T. The second is a T/3-spaced predistortion technique which cancels nonlinear distortion at the HPA output at three points per symbol interval. As opposed to conventional data predistortion, which can only compensate for warping of the signal constellation, the new techniques are effective against intersymbol interference. Using the 64- and 256-QAM signal constellations, it is shown that the proposed techniques lead to a very efficient utilization of the available HPA power. It is shown that, of the two techniques, the T/3-spaced data predistortion employs narrower transmit-pulse shaping and achieves higher protection against adjacent-channel interference at the expense of some additional complexity     

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。     

An adaptive digital predistortion for compensating nonlinear distortions in RF power amplifier with memory effects

In this paper, an adaptive digital predistortion based on a memory polynomial model is proposed in order to linearize the power amplifier with memory effect. The coefficients of the power amplifier model have been extracted using a least square method and those of predistortion have been identified by applying an indirect learning structure. Finally, the performance of digital predistortion has been demonstrated using the simulation of the power amplifier and the digital predistortion excited by a modulated 16 QAM signal in Matlab software. According to the simulation results, the criterion of adjacent channel power ratio (ACPR) declined by around 15 dB and the input/output power spectrum density of the power amplifier has quite similar curves. The linearized power amplifier output spectrum demonstrates the superiority of the proposed predistorter in eliminating the spectral regrowth which is caused by the memory effect in comparison to the other linearization methods.     

基于实值时间卷积神经网络的功放预失真研究

为了实现传输速率高达千兆比特每秒(Gbps)的目标,5G通信系统需要更宽的传输带宽和更高的调制度,这些对射频功放的线性度提出了更加苛刻的要求。必须对功放的非线性进行线性化。文中构建了一种基于实值时间卷积神经网络(Real-Valued Temporal Convolutional Networks,RVTCN)模型的数字预失真器。RVTCN模型利用扩大因果卷积(Dilated Causal Convolution, DCC)提取功放的当前时序信息,把记忆信息存储在残差块(Residual Block,RB)中,不断获取时序特征并保存于网络中。为了验证RVTCN线性化的性能,文中采用了100 MHz带宽的5G NR信号,对中心频率3.5 GHz的Doherty功放进行了预失真线性化实验验证。实验结果表明:该RVTCN模型具有射频功放的动态非线性行为建模能力,其归一化均方误差可达-40 d B;RVTCN预失真器对测试功放的相邻信道功率比(ACPR)改善可达19.5 d B左右。     

一种数字预失真功放输出动态提升技术

数字预失真功放的输出动态提升技术在现代功率放大器设计和研究中已成为一个重要的课题。本文基于数字预失真功放自身特征以及自适应信号处理技术,提出了一种全新的输出动态提升技术。理论分析和试验结果表明：采用该新型技术的数字预失真功放不仅输出动态得到了大幅度提升,而且线性也有一定程度改善。     

A QRD-RLS-Based Predistortion Scheme for High-Power Amplifier Linearization

A digital baseband predistortion (PD) scheme for high-power amplifier (HPA) linearization is proposed and analyzed in this brief. The proposed approach utilizes the QR-decomposition-based recursive least squares (QRD-RLS) algorithm to estimate the memoryless complex polynomial coefficients that characterize the HPA. The inverse polynomial model coefficients corresponding to the PD are similarly extracted using QRD-RLS. The performance of the proposed PD scheme is analyzed via simulations and compared with previously published techniques. Results show that the QRD-RLS-based solution offers improved performance over its comparatives