基于多项式数字基带自适应预失真技术的研究

由于自适应数字预失真具有稳定性好、适应能力强等优点,被广泛应用于实现功率放大器的线性化。而本文正是研究了基于多项式数字基带自适应预失真技术。首先,介绍了基于多项式数字基带自适应预失真技术;其次,分析了间接学习结构理论;最后,对OFDM信号进行了仿真实验。结果表明：预失真可以有效地抑制带外频谱以及补偿功放的非线性失真和记忆效应。     

有记忆功放的非线性测试及其预失真器设计

为有效地克服设计专用电路获取功放实际模型带来的时间和成本开销问题,设计了一个基于Agilent仿真软件和射频仪器的宽带功放测试方案。阐述测量功放记忆性和非线性的操作步骤及相关仪器设置。采用带宽为5 MHz的WCDMA单载波信号激励功放,测量了功放的记忆强度和非线性,从中提取了功放模型并设计了数字预失真器。预失真器工作函数采用记忆多项式模型,采用限记忆的RLS算法来辨识预失真器系数克服数据饱和问题。实际测试结果表明,该预失真器可以使功放输出信号的邻近信道抑制比改善9 dB,验证了本文功放预失真器研究方法的可行性。     

一种快速的自适应预失真算法

研究了一种快速有效的算法用来加快预失真算法的收敛速度,即线性迭代法。并通过计算机仿真来验证这种方法的有效性和可行性,通过计算机的仿真可以使三阶交调分量抑制大概15个dB。理论分析和仿真结果可以表明,该算法使功率放大器的线性化得到很好的改善。     

一种快速的自适应预失真算法

研究了一种快速有效的算法用来加快预失真算法的收敛速度,即线性迭代法。并通过计算机仿真来验证这种方法的有效性和可行性,通过计算机的仿真可以使三阶交调分量抑制大概15个dB。理论分析和仿真结果可以表明,该算法使功率放大器的线性化得到很好的改善。     

射频功放建模及数字预失真算法仿真实验

该文主要研究射频功放建模及数字预失真（digital pre-distortion,DPD）算法。首先,对射频功放的基本特性和DPD系统装置进行介绍。然后,根据各类装置的优劣进行选择,在MATLAB平台上搭建射频功放模型,并选择相适配的DPD装置。最后,观察DPD算法对整个通信系统的线性度改善情况,评价指标包括功率谱图、SNR-误码率图、幅度-幅度（AM-AM）效应图、幅度-相位（AM-PM）效应图、星座图和功率谱密度图。该研究成果可用于提升5G通信中频谱资源的利用效率,也可用于相关专业的实验教学。     

OFDM系统中功率放大器的线性化技术

在OFDM系统中信号峰均功率比较高,这对系统中功率放大器的线性度提出较高要求。提出一种基于功率放大器非线性特性曲线拟舍的自适应预失真算法,使功率放大器的线性度大大提高,仿真结果表明,该算法收敛速度快、补偿效果好。     

共享功率放大器线性化平台的实验教学探索

为了使学生深入理解功率放大器(功放)的非线性特性对信号传输的影响,将共享功放线性化平台引入射频电路课程实验教学,将抽象难懂的非线性理论以及线性化过程转化为可视化实验,旨在提高学生的学习积极性,提升教学效果.该文对预失真模块、线性化系统、共享平台搭建以及测量实例等进行了具体分析和讲解,希望有助于学生对射频电路实际应用的理...     

增益可控的预失真线性化技术

为了满足现代无线通信系统对传输系统线性化性能的要求,线性化技术成为通信领域的研究热点.在研究预失真技术特点的基础上,分析功率增益对预失真技术线性化性能的影响,指出降低预失真放大器的实际输出增益能有效地提高系统的线性化性能.引入功率增益控制因子,改进预失真算法,提出基于增益可控的预失真线性化技术.仿真实验证明,该技术可以实现满意的线性化性能,提高预失真放大器的效率.     

基于安捷伦高性能仪器数字预失真软件的开发

充分、高效利用大型仪器设备,挖掘其潜力、进行二次开发,使其更好地为教学与科研服务具有十分重要的意义。基于安捷伦高性能仪器自主开发了数字预失真软件,包括了信号发生、信号捕获、延时调整、模型识别、模型验证等功能,深度挖掘了这些高性能仪器的潜能,使其完美满足宁波大学信息科学与工程学院科研人员需求,将科研人员从繁琐的操作中解脱出来,专注于数字预失真技术本身的研究,促进了宁波大学信息科学与工程学院科研人员在无线通信领域的研究,从而创造出更加突出的高水平研究成果。     

本振泄露对预失真技术的影响研究

无线通信系统中的预失真技术能较好地克服功率放大器的非线性效应,受到广泛的研究和应用.但在实际应用中,预失真技术的线性化性能会受到各种因素的影响,如本振泄露.在研究分析了本振泄露对预失真技术的影响后,设计改进了预失真的模型和算法,并将其应用在预失真技术中.通过仿真测试,验证了该方法的有效性.在存在本振泄露的预失真放大器中,采用该方法能够降低本振泄露的影响,提高功率放大器的效率和线性化性能.     

射频功率放大器前馈输入延迟神经网络模型

提出一种三层前馈输入延迟神经网络模型用于建立射频功率放大器有记忆的非线性行为模型.反向传播算法用来训练神经网络以提取神经网络模型参数.在仿真中,提出的模型可以通过典型的偶次多项式有记忆功率放大器模型来证明,并且比较了不同数目的延迟单元和隐层神经感知器的模型结构下的性能.为了用实验验证模型的有效性,建立了能达到60×106 sample/s采样率数字测试平台用于采集功率放大器的输入和输出数据.选用矢量信号源产生的3.75 MHz 16-QAM信号作为功放输入信号来测试功放的动态AM/AM和AM/PM特性.通过分析比较时域和频域仿真结果和实验测试结果,模型在收敛性、精度和执行效率方面都达到很好的效果.     

Wavelet network based predistortion method for wideband RF power amplifiers exhibiting memory effects

RF power amplifiers (PAs) are usually considered as memoryless devices in most existing predistortion techniques. Nevertheless, in wideband communication systems, PA memory effects can no longer be ignored and memoryless predistortion cannot linearize PAs effectively. After analyzing PA memory effects, a novel predistortion method based on wavelet networks (WNs) is proposed to linearize wideband RF power amplifiers. A complex wavelet network with tapped delay lines is applied to construct the predistorter and then a complex backpropagation algorithm is developed to train the predistorter parameters. The simulation results show that compared with the previously published feed-forward neural network predistortion method, the proposed method provides faster convergence rate and better performance in reducing out-of-band spectral regrowth.     

整系数多项式不可约判别法

多项式在有理数域上可约的问题可以归结到整系数多项式能否分解成次数较低的整系数多项式的乘积的问题．Kronecker和Eisenstein分别给出了整系数多项式在有理数域上是否可约的判别方法，本文给出了另外一个判别整系数多项式不可约的判别法，对Eisenstein判别法予以补充．     

Alpha spectral power and coherence in the patients with mild cognitive impairment during a three-level working memory task

Objective: The functional relationship between calculated alpha band spectral power and inter-/intra-hemispheric coherence during a three-level working memory task of patients with mild cognitive impairment (MCI) was investigated. Methods: Subjects included 35 MCI patients according to the DSM-IV criteria (mean age: 62.3, SD: 6.5) and 34 healthy controls (mean age: 57.4, SD: 4.0) were selected from the community at large. All subjects performed a simple calculation and recall task with three levels of working memory load while electroencephalograph (EEG) signal was recorded. The spectral EEG power was computed over alpha1 (8.0～10.0 Hz) and alpha2 (10.5～13.0 Hz) frequency bands and was compared between rest stage and working memory processing stage by two-way ANOVA. Post hoc testing analyzed the differences between each two levels of working memory load during task processing. The inter-hemisphere EEG coherence of frontal (F3-F4), central (C3-C4), parietal (P3-P4), temporal (T5-T6) as well as occipital (O1-O2) was compared between MCI patients and normal controls. The EEG signals from F3-C3, F4-C4, C3-P3, C4-P4, P3-O1, P4-O2, T5-C3, T6-C4, T5-P3 and T6-P4 electrode pairs resulted from the intra-hemispheric action for alpha1 and alpha2 frequency bands. Result: There was significantly higher EEG power from MCI patients than from normal controls both at rest and during working memory processing. Significant differences existed between rest condition and three-level working memory tasks (P<0.001). The inter-and intra-hemispheric coherence during working memory tasks showed a "drop to rise" tendency compared to that at rest condition. There was significantly higher coherence in MCI patients than in the controls. When task difficulties increased, the cortical connectivity of intra-hemispheric diminished while the inter-hemispheric connectivity dominantly maintained the cognitive processing in MCI patients. Conclusion: The results of the present study indicate that the alpha frequency band may be the characteristic band in distinguishing MCI patients from normal controls during working memory tasks. MCI patients exhibit greater inter-hemispheric connectivity than intra-hemispheric connectivity when memory demands increase. MCI patients mobilize a compensatory mechanism to maintain the processing effectiveness while the processing efficiency is reduced.     

低输出功率应用的E类CMOS功率放大器设计(英文)

利用标准的0.18μm6层金属混合信号/射频CMOS工艺设计了一种工作在2.4 GHz频段的全集成E类功率放大器.电路采用两级放大器级联结构,其中驱动级利用谐振技术生成高摆幅开关信号;输出级采用E类结构实现了信号的功率放大.在1.2 V电源电压下,设计的功率放大器最高输出功率为8.8 dBm,功率附加效率(PAE)达到44%.同时,提出了一种E类功率放大器功率控制方法.通过改变进入E类开关晶体管的信号幅度和占空比,在3位数字控制字的控制下,输出功率达到-3～8.8 dBm.所设计的功率放大器可以满足诸如无线传感网络(WSN)和生物遥测等低功率系统的应用.     

Study on EEG power and coherence in patients with mild cognitive impairment during working memory task

To investigate the features of electroencephalography (EEG) power and coherence at rest and during a working memory task of patients with mild cognitive impairment (MCI). Thirty-five patients (17 males, 18 females; 52～71 years old) and 34 sex- and age-matched controls (17 males, 17 females; 51～63 years old) were recruited in the present study. Mini-Mental State Examination (MMSE) of 35 patients with MCI and 34 normal controls revealed that the scores of MCI patients did not differ significantly from those of normal controls (P＞0.05). Then, EEGs at rest and during working memory task with three levels of working memory load were recorded. The EEG power was computed over 10 channels: right and left frontal (F3, F4), central (C3,C4), parietal (P3, P4), temporal (TS, T6) and occipital (O1, O2); inter-hemispheric coherences were computed from five electrode pairs of F3-F4, C3-C4, P3-P4, T5-T6 and O1-O2 for delta (1.0～3.5 Hz), theta (4.0～7.5 Hz), alpha-1 (8.0～10.0 Hz), alpha-2 (10.5～13.0 Hz), beta-1 (13.5～18.0 Hz) and beta-2 (18.5～30.0 Hz) frequency bands. All values of the EEG power of MCI patients were found to be higher than those of normal controls at rest and during working memory tasks. Furthermore, the values of EEG power in the theta, alpha-1, alpha-2 and beta-1 bands of patients with MCI were significantly high (P＜0.05) in comparison with those of normal controls. Correlation analysis indicated a significant negative correlation between the EEG powers and MMSE scores. In addition, during working memory tasks, the EEG coherences in all bands were significantly higher in the MCI group in comparison with those in the control group (P＜0.05). However, there was no significant difference in EEG coherences between two groups at rest. These findings comprise evidence that MCI patients have higher EEG power at rest, and higher EEG power and coherence during working conditions. It suggests that MCI may be associated with compensatory processes at rest and during working memory tasks. Moreover, failure of normal cortical connections may be exist in MCI patients.     

数据存贮新技术综述

数据存贮技术是实现网络宽带通信的关键技术.文章集中介绍了两种数据存贮技术：光存贮技术和网络存贮技术.光存贮技术是硬件存贮技术的发展方向;网络存贮技术是解决光速极限的最有力手段.此外文章对这些技术的应用进行了较深入的分析,并指明了这些技术未来的发展方向.     

带约束条件的多项式规划问题的全局最优性充分条件

利用一些学者提出的研究全局优化问题的全局最优性条件的新方法,讨论一些带有二次约束的特殊非凸多项式规划问题的全局最优性条件。通过利用拉格朗日函数和L-次微分相结合的方法,给出带不等式约束的多项式规划的全局最优性充分条件,并推广了已有文献中的一些结论;最后举例说明如何利用所给出的全局最优性充分条件来判定当前可行解就是全局最优解。     

与给定多边形相切的一类闭三角多项式曲线

T-B样条基函数是具有B样条基函数性质的三角基函数。基于T-B样条基函数,构造了一类与给定多边形相切的闭三角多项式曲线,逼近效果好,计算量小,且编程统一,实验表明,具有较好的应用效果。