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.     

无线通信中有记忆功率放大器的一种预失真方法

在WCDMA等宽带通信系统中,射频功率放大器记忆效应明显,传统的无记忆预失真技术无法达到理想的线性化效果.分析功放的记忆效应,并提出一种适合于有记忆射频功率放大器的顸失真方法.该方法首先基于记忆多项式构造预失真器,然后采用间接学习结构设计预失真系统,并运用限定记忆递推最小二乘算法更新预失真器参数,以跟踪放大器特性的变化.仿真结果表明,该方法能较好地补偿射频功放的非线性失真和记忆效应.     

功率放大器数字预失真技术的研究

在宽带码分多址(WCDMA)等宽带通信系统中,射频功率放大器呈现出严重的电记忆效应和热记忆效应,产生频谱再生和邻道干扰,传统的无记忆预失真技术已经无法消除信号失真而达到理想的线性化效果.针对此类有记忆性的功放,文章提出一种新的记忆多项式预失真器,以跟踪射频功率放大器特性的变化, 并进行非线性补偿.     

一种低复杂度的并发双频数字预失真模型

由于多标准通信制式的发展,并发双频功率放大器的数字预失真线性化技术近年来备受关注。文中提出一种低复杂度的并发双频数字预失真模型。与已报道的简化二维记忆多项式模型相比,该模型通过引入同阶包络交叉项增强对双频功率放大器中非线性互调失真的补偿能力。新模型能够取得比简化二维记忆多项式模型更好的建模精度和线性化性能,同时保持了便于利用一维查找表实现的优点。对新模型与其它双频模型的线性化性能与模型复杂度进行了比较,仿真与测试结果表明新模型在性能和复杂度之间取得了良好的折中。     

基于并联FIR滤波器组的Hammerstein预失真器

采用预失真技术对功率放大器的记忆非线性失真进行补偿的关键是预失真器建模的准确性,尤其是模型对功率放大器逆记忆特性的描述能力。针对目前预失真器模型对功率放大器逆记忆效应描述不充分的问题,提出了将查找表(LUT)级联一个具有并联结构的有限长单位冲激响应(FIR)滤波器组作为实现形式的Hammerstein预失真器,以提高传统Hammerstein预失真器的补偿性能,并采用一种两步算法对其参数进行辨识。仿真实验表明,提出的Hammerstein预失真器能更好地补偿带强记忆效应的功率放大器的非线性失真。     

一种基于非均匀记忆多项式的数字预失真方法

为了提高功率放大器线性化性能，提出了一种基于非均匀记忆多项式(Nonuniform Memory Polynomial, NMP)和线性插值查找表(Look-Up Table, LUT)结合的基带数字预失真方法。与传统的记忆多项式(Memory Polynomial, MP)模型相比，NMP模型具有更少的系数和较低的计算复杂度，同时能获得相近的建模精度。在NMP模型的基础上，采用线性插值LUT代替求解多项式的计算过程，进一步降低预失真处理的计算复杂度。对提出的数字预失真方法进行了仿真测试，仿真结果表明，相比基于传统MP模型的预失真方法，提出的方法能够获得相近的线性化性能，并在预失真处理消耗时间上有较大优势。     

基于软件无线电的数字预失真研究

本文针对功率放大器的数字预失真技术进行了研究,主要的内容包括:分析了数字预失真技术的国内外发展现状,衡量功放线性化程度的主要技术指标,描述了功率放大器的无记忆效应和有记忆效应情况下的行为模型.基于16QAM的数据系统,对多种项式的预失真,采用间接学习结构来实现,并基于最小递归二乘RLS算法分别对有记忆多项式预失真进行了仿真分析.仿真的结果表明基于Volterra级数的记忆多项式预失真收敛速度虽一般,却能很有效的改善PA的ACPR值几个dB左右.最后,通过Matlab软件仿真,验证了所设计的数字预失真技术的正确性.     

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。     

一种基于维度加权盲K近邻算法的数字预失真技术

传统的数字预失真(DPD)模型通常在所有的输入信号功率上采用单一多项式模型和单一记忆深度对功率放大器(PA)进行线性化矫正。然而,功率放大器在不同的功率水平下会呈现出不同的非线性特性,并产生不同的记忆效应。针对这一问题,该文提出一种基于维度加权盲K近邻(KNN)算法的数字预失真模型,所提模型根据功放当前输入信号以及记忆输入信号的幅度进行维度加权的KNN分类,组成维度加权盲KNN记忆多项式(WKMP)模型,并为每一类输入信号序列建立子模型。所提方法用Doherty功率放大器进行实验验证,使用带宽为30 MHz、频点为2.2 GHz的3载波长期演进(LTE)信号作为输入,反馈端使用122.88 MHz的采样率进行采样。实验结果表明,所提维度加权盲KNN分类方法与记忆多项式(MP)模型结合时,功放正向建模效果和数字预失真效果均超过了广义记忆多项式(GMP)模型,并远超记忆多项式模型的效果,实验结果验证了所提模型的优良性能。     

一种有效的基于宽带功率放大器强记忆效应特性的PMEC预失真方法

针对宽带功率放大器的强记忆效应特性,论文提出了一种新的预失真方法PMEC (Parallel MP-EMP-CIMT),该方法基于记忆多项式(MP),包络记忆多项式(EMP)及记忆时刻信号交叉项(CIMT)3个基函数构造预失真器。与传统混合记忆多项式(HME)方法相比,PMEC方法增加了记忆时刻信号间的交叉相乘项,此外,为了解决系统复杂度高的问题,对EMP子预失真器进行了简化并截断了CIMT子预失真器的高阶非线性项。实际测试结果表明,PMEC方法比MP方法和HME方法能带来更好的线性化效果,与MP方法相比,PMEC方法将输出信号的三阶邻信道功率比(ACPR)降低了1.07 dB/1.32 dB,预失真系数量节省了18.75%;与HME方法相比,PMEC方法利用79.59%的预失真系数将输出信号的三阶ACPR降低了0.2 dB/0.99 dB。     

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.     

一种新的分数阶记忆多项式预失真器

该文针对由记忆多项式设计的功率放大器预失真系统,提出了一种新的分数阶记忆多项式预失真器。提出预失真多项式是在常用记忆多项式基础上,通过去掉偶数阶项增加分数阶项以提高线性化性能。文中给出了分数阶记忆多项式的表达式,并给出了相应的系数估计算法。仿真分析表明,针对Wiener-Hammerstein和记忆多项式模型的功率放大器,在两种典型记忆多项式预失真的基础上可以分别得到10 dB和8 dB的带外谱抑制增益。相应的FPGA实现表明该预失真多项式总体硬件资源增加的代价并不高,易于在实际系统中应用。     

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 New Wideband Adaptive Digital Predistortion Technique Employing Feedback Linearization

We develop a new wideband digital feedback predistortion (WDFBPD) technique for modulated signals with wide bandwidths by combining digital feedback predistortion (DFBPD) linearization and memory-effect compensation techniques. For the experiments, a class-AB amplifier using an LDMOSFET with 90-W peak envelope power is employed. The proposed technique is compared with existing DFBPD and memory polynomial (MP) techniques for a 2.14-GHz forward-link WCDMA 2FA signal with 10-MHz carrier spacing. The experimental results show that the new WDFBPD technique has better linearization performance than conventional DFBPD and lower computational complexity than the MP technique.     

Digital predistortion for concurrent dual-band transmitter using a 2D-LUT based Hammerstein architecture

Digital predistortion has been proved to be an effective remedy for the nonlinear distortion in radio-frequency power amplifier. Unfortunately, conventional digital predistorters (DPDs) developed for single-band transmitters can not be directly applied to concurrent dual-band. To solve the problem, DPDs with two dimensional memory polynomials were then proposed. Although they can provide good performance, its computational complexity is high for the estimation of polynomial coefficients. Look-up-table (LUT) based DPDs, developed for single-band transmitters, can effectively solve the problem. However, there are limited studies about LUT based DPDs for concurrent dual-band transmitters. In this paper, we propose a two-dimensional LUT based Hammerstein DPD to solve the problem. Analyzing the signals on both bands, we propose a new adaptive algorithm with the gradient-descent and recursive-least-squares (RLS) methods to train the DPD iteratively. With the proposed method, the computational complexity in the identification of the DPDs can be significantly reduced. Finally, simulations and experiments are conducted to demonstrate that the performance of the proposed DPD is comparable to that of the polynomial based DPD.     

Filter Lookup Table Method for Power Amplifier Linearization

This paper presents a new method of digital adaptive predistortion for linearization of power amplifiers (PAs) exhibiting memory effects. The predistorter (PD) device consists of a lookup table (LUT) gain followed by a codebook of filters addressed by the index of the LUT. The adaptation is derived from direct learning for the LUT gains and indirect learning for the filter coefficients. We compared our results with those of two reference methods: a simple LUT system (with direct learning) and a memory polynomial system (with indirect learning). The performances of the new approach lie between those of the two reference methods in terms of adjacent channel power regrowth and error vector magnitude. The LUT is the less complex of the three methods, but it is a memoryless system, and it cannot correct the memory effects in the PA. The memory polynomial PD is more powerful, but its complexity is very high. The new technique, due to the addition of filters to the LUT, has possibilities to compensate not only for the nonlinearity but also for the memory effects in the PA, and it is one order of magnitude less complex than the memory polynomial system     

Joint Polynomial and Look-Up-Table Predistortion Power Amplifier Linearization

Digital predistortion at baseband is an efficient and low-cost method for the linearization of a power amplifier (PA) in a wireless system employing a nonconstant-envelop modulation scheme, so as to reduce the adjacent channel interference. The polynomial and the look-up table (LUT) predistortion schemes are two commonly used approaches. However, in each of the two approaches, to reach a satisfactory adjacent channel power ratio (ACPR) in the PA output signal, people usually end up with a complex system having the involved algorithms converge rather slowly. In this brief, we propose a low-complexity joint-polynomial-and-LUT predistortion PA linearizer, where the two mutually dependent predistortion schemes can skillfully help each other. Simulation results show that the proposed joint linearizer can reduce the algorithm convergence time while achieving an excellent ACPR.     

自适应数字预失真放大器的算法研究

由于功率放大器特性随温度,供电电压等因素的变化而改变,为了保证预失真功率放大器稳定工作,预失真系统的自适应性能就显得非常重要。基于查找表的预失真放大器广泛采用最小均方（least-mean．square,LMS）自适应算法。介绍了基于查找表的预失真放大器的基本结构,并根据步长参数和误差之间的非线性关系提出了一个新的变步长LMS算法。最后用MATLAB搭建了一个自适应预失真器的仿真系统。仿真表明,在迭代500次时,该算法对预失真放大器失真效果的改进明显优于以前的算法。     

Weighted Polynomial Digital Predistortion for Low Memory Effect Doherty Power Amplifier

We have proposed a simple and effective weighted polynomial digital predistortion algorithm, which consists of weighting, least square polynomial fit, and de-weighting. The weighting factor is introduced to describe the signal distribution statistics and high harmonic generation at a high power region to improve accuracy of the error function. A low memory linear Doherty power amplifier (PA) has been realized with two 90-W peak envelope power LDMOSFETs using memory effect reduction techniques, and the proposed algorithm has been applied to the PA. For the forward-link wideband code division multiple access 3FA signal, the adjacent channel leakage ratio performance at 5-MHz offset is -56 dBc with power-added efficiency of 20.78% at an average power of 40 dBm. The proposed weighting polynomial algorithm provides a significantly reduced error power and superior convergence behavior with improved linearization capability than the conventional polynomial. Moreover, the low memory Doherty amplifier could be linearized for a wideband signal using the simple algorithm without any memory effect compensation     

Digital predistorter with improving index accuracy of lookup table based on FPGA

In this paper, a method of function approximation for improving index accuracy of the lookup table (LUT) of digital predistortion (DPD) is proposed to obtain more accurate linearization. The algorithm utilizes approximation of the LUT with the method of Taylor Series. The power values of forward signals are divided into integers and decimals, and the corresponding LUTs are indexed respectively. The index predistortion values of forward signals are approximated by Taylor series, which improves the index accuracy of LUT significantly. Experiment shows that the performance of a DPD system is improved.