宽带卫星信道群时延的自适应均衡校正研究

在宽带卫星通信链路中,由于器件通带特性不理想和行波管放大器的工艺受限等原因使卫星信道的群时延波动较大,导致误比特性能恶化。群时延的补偿算法需要复杂的数学运算,因此工程上一般采用线性均衡对信道群时延特性进行校正。针对群时延失真严重情况下线性均衡效果下降的问题,对比研究了线性均衡、非线性均衡对信道群时延校正的性能,仿真分析了采用恒模算法的线性均衡和采用voherra模型的非线性均衡在群时延失真信道下的性能,得出了两类均衡器在群时延失真信道下的误码率性能曲线,结果表明低阶调制下采用非线性均衡可以较好的消除宽带卫星信道群时延的影响。     

在抗干扰无线电通信系统中利用伪随机频率调谐修整相移键控信号

改进数字传输接收系统抗干扰的方法,是利用相移键控信号和互比特伪随机频率调谐以及频率子信道中的窄带干扰自适应补偿器.文中主要研究利用符号间的PWFT证实接收的PM信号的结构图,用非线性补偿算法对窄带干扰频率的不变性,来确保在窄带干扰作用条件下抗干扰的可靠性.     

卫星信道中高阶APSK调制的非线性失真补偿算法

针对高阶APSK调制在卫星信道中存在有记忆非线性失真的现象,提出一种联合补偿算法,该算法充分利用APSK调制信号星座图的特点,在大幅度减小无记忆数据预失真计算量的基础上,联合非线性均衡实现对有记忆非线性卫星信道的自适应补偿.其优点是存储量和计算复杂度随调制阶数的增加变化很小.仿真结果表明,该算法能够达到有记忆数据预失真的补偿性能,且最佳工作点提高0.2 dB.     

利用CFBG补偿色散实现2 015 km 8×10 Gb/s光传输

利用啁啾光纤光栅(CFBG)串联的多波长色散补偿器对长距离传输的8个信道信号进行色散补偿,各个信道波长符合ITU-T标准,波长间隔为100 G.系统采用掺Er3+光纤放大器(EDFA)作为功率放大器,在2 015 km的G.652光纤上无前向纠错(FEC)无电中继实现8×10 Gb/s零误码传输.结果表明,利用CFBG构成的色散补偿器各信道补偿一致性好,CFBG不但能通过滤除带外噪声有效减小长距离传输中由放大器产生的自发辐射噪声(ASE)的积累,提高传输信号的信噪比(OSNR),而且其较低的非线性特性有利于抑止信号劣化,从而有效提高长距离波分复用(WDM)的传输性能,扩展无电中继传输距离.     

利用自适应逆模拟提高大气光通信性能

大气信道的随机变化导致光通信系统误码率的增大,这里提出了一种利用自适应逆模拟补偿大气信道的自适应方法,并给出了算法设计,这有利于提高大气光通信系统的性能。     

一种正交频分复用系统的非线性补偿技术

针对正交频分复用(OFDM)系统在功率放大器(PA)非线性较强时的性能问题,基于一种无线设备非线性与无线信道的联合估计技术,提出了一种基于训练序列的OFDM非线性信道估计与补偿技术.首先基于最小二乘(LS)算法进行发射机非线性与无线信道单位脉冲响应的联合估计,然后依次进行无线信道与发射机非线性的补偿.仿真结果显示,提出方法可逼近不考虑PA非线性时OFDM无线通信系统的完美均衡理论解析值.     

OFDM系统中抗非线性失真的迭代信道估计算法

针对OFDM系统中信号限幅滤波造成的信道估计性能下降,提出了一种基于梳状导频的迭代估计算法。该算法迭代估计信号中的非线性噪声,并据此补偿信号的非线性失真,提高信道再估计的性能。推导出了该算法在限幅预畸变系统中所能达到的理论均方误差下限,同时给出了初始信道估计的理论均方误差。仿真表明,该算法克服了由限幅滤波造成的性能瓶颈,且收敛速度快。与文献迭代信道估计算法相比,具有更强的抵抗峰均比抑制的能力。     

二类取样NLCFG的多波长色散补偿特性

根据非线性啁啾光纤光栅可用于对光通信系统中一阶和二阶色散进行补偿的原理 ,系统地研究了二类取样型非线性啁啾光纤光栅的反射谱及时延特性 ,并进行了数值仿真。提出了计算二类取样光栅产生的信道数的计算方法。     

短波通信中MIMO单载波频域均衡算法研究

短波信道是一个典型的频率选择性衰落信道,需要在接收端采用均衡技术来补偿信道衰落的影响。针对短波信道的特性,介绍了能有效对抗多径干扰的MIMO单载波频域均衡的系统结构,并研究了传统的线性均衡。在此基础上提出了一种改进的频域均衡算法,对信号进行两次均衡,进一步消除了多径分量造成的干扰,并在中度短波信道下验证了改进算法的性能。Matlab仿真结果表明,提出的改进算法降低了误码率,提高了系统性能。     

64QAM数字无线电发射机的GaAs FET功率放大器设计与特性

本文给出了64QAM无线电系统的6GHz放大器的设计规格和性能数据;着重指出了设计时间和温度都具有优良的线性度;用三点频交调测量可确定出器件和整个放大器的特性;用桥式电路可以描述带前置补偿和不带前置补偿的放大器特性;叙述了由于五阶作用使性能受到限制。该功率放大器具有很低的失效率。     

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。     

A new Volterra predistorter based on the indirect learningarchitecture

Nonlinear compensation techniques are becoming increasingly important. We present a new Volterra-based predistorter, which utilizes the indirect learning architecture to circumvent a classical problem associated with predistorters, namely that the desired output is not known in advance. We utilize the indirect learning architecture and the recursive least square (RLS) algorithm. Specifically, we propose an indirect Volterra series model predistorter which is independent of a specific nonlinear model for the system to be compensated. Both 16-phase shift keying (PSK) and 16-quadrature amplitude modulation (QAM) are used to demonstrate the efficacy of the new approach     

Digital predistorter using multiple lookup tables

A new digital predistorter is proposed that copes with the variation of power amplifier characteristics faster than the adaptation rate of the predistorter by using multiple lookup tables. Experimental results derived from a prototype show that the proposed predistorter can suppress the adjacent channel interference up to 12 dB compared to the conventional predistorter with a single lookup table.     

Fast time-series adaptive-filtering algorithm based on the QRDinverse-updates method

A new adaptive filtering algorithm for time-series data based on the QRD inverse updates method of Pan and Plemmons (1989) is derived from first principles. In common with other fast algorithms for time-series adaptive filtering, this algorithm only requires O(p) operations for the solution of a pth-order problem. Unlike previous fast algorithms based on the QRD technique, the algorithm presented here explicitly produces the transversal filter weights. Furthermore the derivation of the algorithm is achieved, quite simply, by means of signal-flow-graph manipulation. The relationship between this fast QRD inverse updates algorithm and the FTF algorithm is briefly discussed. The results of some preliminary computer simulations of the algorithm, using finite-precision floating-point arithmetic, are presented     

Wiener predistorter for nonlinear satellite downlinks

The nonlinear power amplifier and the analogue output channel filter with nonconstant group delay add nonlinear and linear distortions to the satellite transmitted signal, respectively. Recently, there has been growing interest in using Wiener predistorters, consisting of separate nonlinear and linear components, to compensate for these distortions in the satellite downlinks. The Wiener predistorter has been shown to effectively deal with signal distortions and has lower complexity compared to other state-of-the-art methods. In this paper, we argue that fully compensating the nonconstant group-delay distortion degrades the overall performance of the Wiener predistortion systems. This is primarily due to the increased peak-to-average power ratio of the signal at the output of the linear predistorter. We show that the overall performance of the Wiener predistorter can be improved by undercompensating the group-delay distortion. We propose two optimizations to address the PAPR growth problem and show using simulations that our approach leads to significant improvement in predistortion performance. Using our Wiener predistorter, the total degradation gap to the ideal limiter channel can be reduced to merely 0.34 dB for 64-APSK modulated signals.     

An accurate digital baseband predistorter design for linearization of RF power amplifiers by a genetic algorithm based Hammerstein structure

In this paper, a novel digital predistorter design based on the Hammerstein structure is proposed in order to linearize radio frequency power amplifiers. A genetic algorithm optimization method has been proposed to accurately identify the coefficients of a Wiener model for the power amplifier. Digital predistorter design based on the proposed Hammerstein model has been carried out according to the accurate Wiener model. The validation of the suggested model is carried out using the simulation of the power amplifier and the digital predistortion excited by 64QAM signals in the advanced design system software. According to the simulation results, the criterion of an adjacent channel power ratio decreased by about 16 dB. The simulation results show the adjacent channel power ratio of almost ??46 dBc. In order to assess the feasibility of the proposed predistorter, it is completely implemented in the Kintex FPGA using Vivado HLS. This proposed model enables a more accurate modeling of nonlinear distortion and memory effects compared to the previous linearization methods. This paper presents the new linearization method using the genetic algorithm based Hammerstein structure.     

基于Volterra级数间接学习型预失真器的FPGA实现

在宽带无线通信系统中,高功率放大器HPA因其非线性和记忆特性,将会导致频谱再生和邻道干扰。本文论述了在FPGA硬件平台上实现基于Volterra级数间接学习型的预失真器,采用LMS自适应算法在线实时更新预失真器的权重系数,从而有效消除高功率放大器的非线性失真。实验结果表明,该设计可以有效降低功放的互调失真（IMD）,进而提高发射机系统的性能。     

一种新的用于Hammerstein预失真器的自适应结构

针对目前的自适应预失真结构不利于高效的最小二乘算法直接对Hammerstein预失真器参数进行更新的问题,该文提出了一种新的自适应预失真结构。应用该结构可以得到Hammerstein预失真器中两个子系统的误差,因此可使用高效的最小二乘算法直接对Hammerstein预失真器进行自适应更新,避免了结构误差以及子系统误差不精确对预失真器性能的影响。仿真结果表明:该文提出的自适应结构可使Hammerstein预失真器快速高效地补偿带记忆效应功率放大器的非线性失真。     

A least-squares/Newton method for digital predistortion of wideband signals

Power amplifiers (PAs) are essential in communication systems, but are inherently nonlinear. To achieve linearity with good efficiency, PA linearization is necessary. Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applications, such as wideband code-division multiple access, PA memory effects can no longer be ignored. Therefore, in order to achieve good linearization performance, the predistorter needs to also have memory structure. In this paper, we propose a new model for the wideband predistorter and a least-squares(LS)/Newton algorithm to estimate the model parameters. Performance of the LS/Newton algorithm is studied through computer simulations. Good linearization performance is achieved by using the new model in an experimental testbed.     

Threshold IBO of HPA in the predistorted OFDM communication system

Orthogonal frequency division modulation (OFDM) system is very useful for the multi-path channel and highly bandwidth-efficient system. However, OFDM signal shows the high peak to average power ratio (PAPR) so that nonlinear distortion can happen in the high power amplifier (HPA). This paper studies BER performance variation according to input back off (IBO) values when the predistorter is used for the compensation for the HPA nonlinearity. In the case of the solid state power amplifier (SSPA) of nonlinearity parameter p=0.5 and IBO=0 dB, the system with predistorter is poorer than the one without predistorter. But this situation is inverted, if IBO is increased from 0 dB to 3 dB. So, we can find that there is a threshold value of IBO for the predistorter to effectively compensate for the nonlinear SSPA when the sub-carrier number and p value are changed. This threshold IBO value is proportional to the nonlinearity parameter p value but it is nearly independent of the sub-carrier number because amplitude and distribution are normalized. The OFDM system with predistorter can be improved only when thee IBO value is higher than the threshold value.