基于混沌遗传的异构无线网络接入选择策略

为了解决异构无线网络接入选择问题,提出一种基于混沌遗传算法的解决方法.将网络接入选择转换为一个多属性优化问题,利用混沌遗传算法解决全局寻优问题.算法首先通过超混沌系统产生初始种群和混沌扰动向量,对遗传算法进行改进;然后利用混沌遗传算法对适应度函数求解得到网络选择评价指标权重.仿真结果表明,该算法能够使新到达的用户更均匀地分布在各备选网络中,有效降低网络阻塞率并减小各候选网络阻塞率差距,实现网络的负载均衡.     

改进量子遗传算法辨识超混沌系统

混沌系统的参数辨识是非线性科学中混沌控制与同步的关键问题。提出改进量子遗传算法,该算法具有良好的全局搜索能力,将其应用在混沌系统参数辨识问题。通过尽量减小实际系统与数学模型的状态同步误差来构造适应度函数,将参数辨识问题转化为一个多维优化问题。对超混沌Chen系统进行研究,并与基本量子遗传算法比较。实验仿真结果表明,改进量子遗传算法的有效和可行性,为混沌系统辨识开拓了一种新方法。     

基于量子遗传算法的永磁同步电动机混沌运动的同步控制

混沌同步是当代非线性与控制学科中的一个热点问题。针对永磁同步电动机中混沌同步,反馈反同步法在整定反馈增益矩阵参数时存在困难,利用量子遗传算法对反馈增益矩阵进行参数优化,从而克服反馈增益中参数不易整定的缺陷。数值仿真实验表明,利用量子遗传算法结合反馈反同步法能够使初始状态不同、运动轨迹不同的两个混沌系统在短时间内迅速达到同步,可以是系统达到很好的动态特性,验证了该方法的有效性,对电动机运动的稳定性具有较好的价值。     

基于混沌扩频DS－CDMA系统的建模与仿真

利用MATLAB的SIMULINK仿真平台，对基于混沌扩频DS-CDMA系统进行建模与仿真。在该系统模型下，对利用3种不同的混沌扩频序列(Logistic，Tent,Chebyshev)扩频调制的系统性能进行仿真。仿真结果表明Tent混沌扩频是较好的方法。     

一种新的含噪混沌信号降噪算法

该文针对低信噪比、非高斯加性噪声和混沌动力学系统参数未知的含噪混沌信号降噪问题,提出了一种基于粒子滤波(Particle Filtering, PF)的降噪新算法。该算法将混沌信号和动力学系统中的未知参数作为一个多维状态矢量,利用PF方法递推计算多维状态矢量的联合后验概率分布,进而实现了对混沌信号的最优估计。对于混沌信号轨道分离过快所导致的退化问题,提出了有效的解决方法,并利用核平滑和自回归(Auto-Regression, AR)模型建模的方法分别实现了非时变以及时变参数的递推估计。仿真实验的结果表明,与现有的降噪方法相比,该文提出的新算法能够更加有效地抑制含噪混沌信号中的加性噪声。     

基于改进混沌遗传算法的无人机航迹规划

如何快速地规划出满足约束条件的飞行航迹,是实现无人机自主规划的关键。提出了一种基于混沌遗传算法的航迹规划方法,该方法首先由Voronoi图生成初始航迹,然后采用混沌遗传算法在生成的航迹空间中寻优。主要对近年来出现的混沌遗传算法进行了改进以使其更具智能化。该方法采用幂函数载波代替传统混沌优化算法中的线性载波;为进一步提高混沌映射迭代序列的均匀性,提出了确定区间的随机幂指数概念并将其应用到混沌遗传算法中。仿真结果表明,该方法可以提高混沌遗传算法收敛的精确性。     

混沌动力学系统的神经网络学习控制研究

针对混沌动力学系统建模困难，控制不易实现，存在干扰等特点，在附加动量法的自适应BP网络的基础上，研究了混沌动力学系统的学习控制策略。构建了混沌动力学系统的NN模型和NN控制器，对混沌系统在学习的同时施加控制，仿真实验结果表明，该控制策略具有鲁棒性强，有良好的适应性，网络参数训练时间短等优点。     

一种混沌网络简单电路实现

本文利用简单的非线性电子元件设计成混沌电路，该电路具有设计简单，易于集成等特点。利用多控制参数使得该混沌电路具有丰富的混沌动力学行为，本文利用Lyapunov指数，从理论上分析控制参数对电路输出的影响。根据理论分析结果，调节电路的参数，可以成功地看到不动点、倍周期、混沌现象。这一简单电路可望在混沌神经网络，混沌通讯领域获得应用。     

混沌背景中微弱信号检测的回声状态网络方法

对复杂非线性系统的相空间重构理论进行了研究分析,提出了混沌背景中微弱信号检测的回声状态网络方法。针对回声状态网络模型参数选取困难这一问题,采用遗传算法对其模型参数进行优化。将回声状态网络模型参数作为遗传算法的个体,混沌时间序列预测均方根误差的倒数作为适应度函数,通过选择、交叉、变异等操作获得适合数据特点的最优模型参数。根据回声状态网络强大的学习和非线性处理能力,利用得到的回声状态网络模型最优参数建立混沌背景噪声的单步预测模型,将淹没在混沌背景噪声中的微弱瞬态信号和周期信号从预测误差中检测出来。以Lorenz系统和实测的海杂波数据作为混沌背景噪声进行仿真实验,仿真结果表明,本文所提方法在预测精度和训练速度方面均优于支持向量机和神经网络模型,能够有效地检测出混沌背景噪声中的微弱目标信号,且具有较小的预测误差。      

优化回声状态网络混沌跳频码预测方法研究

以混沌跳频码预测为背景,针对现有预测方法中存在的缺乏记忆能力导致识别准确率不高以及运算量大等问题,论文提出了基于优化回声状态网络的混沌跳频码预测方法。该方法在继承回声状态网络优良性能的同时,利用改进遗传算法优化网络储备池参数,较好地解决了参数选择问题,使其具有更强的针对性和更好的预测效果。论文以logistic-kent映射、Lorenz系统和Mackey-Glass系统跳频码为样本数据,通过改进遗传算法确定最优储备池参数并进行仿真实验,将仿真结果与其他文献结果作了比较,证明了该预测方法的优越性。      

地面目标红外建模缺失参数反演与模型验证方法

地面目标红外辐射特性建模需要比较完备的参数,针对非合作方目标,许多相关参数较难或者无法通过测试的方法直接获取,参数的缺失给目标红外辐射特性预测带来了很大困难。目标的红外测试数据可以认为是包含所有参数及所处环境在内的信息综合作用的结果,因此可以利用目标的测试数据反演某些重要的缺失参数。针对冷静态目标,首先分析地面目标建模可能的缺失参数,通过调研及专家知识等预估缺失参数取值区间,基于灵敏度理论和正交试验法研究缺失参数对目标特性的影响程度,确定主要缺失参数,包括材料厚度、材料表面太阳吸收率和发射率。然后基于地面目标仿真数据或实测数据,结合共轭梯度法提出地面目标红外建模缺失参数反演与模型验证方法,最后通过两个实例对该方法进行了验证。结果表明:利用该方法反演缺失参数后的典型测点计算温度与实际温度变化特性高度一致,不同时刻的温度数值误差最高不超过2 K。研究表明:该方法具有较好的准确性,未来可推广应用到非合作目标红外建模缺失参数反演与红外辐射特性预测研究中。     

Application of the three-dimensional finite-difference time-domainmethod to the analysis of planar microstrip circuits

A direct three-dimensional finite-difference time-domain (FDTD) method is applied to the full-wave analysis of various microstrip structures. The method is shown to be an efficient tool for modeling complicated microstrip circuit components and microstrip antennas. From the time-domain results the input impedance of a line-fed rectangular patch antenna and the frequency-dependent scattering parameters of a low-pass filter and a branch-line coupler are calculated. These circuits were fabricated and the measurements made on them are compared with the FDTD results and shown to be in good agreement     

Model-Based Correlated Channels Estimation

In this paper we propose a noisy Multivariate Autoregressive (MVAR) process for modeling and estimating the correlated fading channels. The method can estimate joint MVAR processes and model parameters from noisy received signal. The proposed method is based on serial connection of two algorithms. In the first algorithm, we estimate MVAR model parameters. For this purpose, a combination of Yule–Walker equations is used. This combination is considered as a generalized eigenvalue problem; an estimate for receiver noise variance is obtained by solving this eigenvalue problem then Least-Squares method is used to estimate the MVAR model parameters. In the second algorithm, the fading process is estimated by using Kalman filter. Simulation results show that the proposed method has good performance compared with other existing methods.     

Analysis of Frequency Selective Surface on Isotropic/Anisotropic Layers Using WCIP Method

The wave concept iterative procedure (WCIP) is used to analyze arbitrarily shaped frequency selective surfaces (FSS). The WCIP method is developed from the fast modal transform based on a two‐dimensional fast Fourier transform algorithm. Using the proposed procedure, less computing time and memory are needed to calculate the scattering parameters of the FSS structure. The method is applied to the modeling of an FSS structure of a rectangular patch and a comparison with experimental results confirms good agreement.     

Modeling and analysis of vias in multilayered integrated circuits

A method for modeling and analyzing vias the multilayered integrated circuits is presented. The model is based on microwave network theory. The whole via structure is divided into cascaded subnetworks, including a vertical via passing through different layers and transitions from the microstrip line and/or striplines to the vertical via. The parameters of each subnetwork are obtained from electromagnetic field analysis. Numerical results in the frequency domain and the time domain are presented. Validation of the model has been carried out by both measurements and finite-difference-time-domain (FDTD) modeling. The results show good agreement with the measurements in the frequency range for which the components of the experimental model are within specification. The time domain simulation results also agree well with the FDTD results     

Parametric Analysis of 2-Unit Redundant Computer Systems With Corrective and Preventive Maintenance

This paper shows the span of results which can be obtained by modeling a system's behavior by stochastic processes and demonstrates practical rules for employing Markov and semi-Markov models. The introduction summarizes several methods for reliability analysis and gives the advantages and drawbacks of four methods: Markov processes, semi-Markov processes, supplementary variables, the method of stages. The remainder deals with reliability and availability modeling of a 2-unit redundant computer system. There are a) two types of maintenance: corrective (c. m.) and preventive (p. m.), and b) two system parameters: coverage, and an increased failure rate when one unit is under repair or inspection. Approximate expressions for reliability, mean time to failure, and asymptotic availability show the effects of the system parameters as well as of the shapes of the Cdf's of the times related to maintenance actions. For c.m., Markov modeling is a good approximation. For p.m., Markov modeling is a rough approximation; one can go to semi-Markov models or to the method of stages. Lastly, an approximate expression is given for the mean inspection interval which maximizes reliability and availability for p.m.     

不锈钢材料的光纤激光掩膜微细电解复合加工

光纤激光掩膜微细电解复合加工是激光表面重熔与微细电解加工的结合,是加工微细型腔的有效方法。根据光纤激光掩膜微细电解复合加工的加工原理,搭建复合加工平台并进行工艺试验。对光纤激光掩膜表层物质进行XRD测量,结合有限元法建立热源模型分析激光加工参数对激光掩膜的影响,对不锈钢表层进行电化学极化曲线测量,最后进行工艺试验对得出的结论进行验证。研究结果表明:激光重熔表面耐腐蚀性较好,在微细电解加工过程中对材料基体起到很好的保护作用,选取适当的激光加工参数能够加工出精细的微型腔结构。     

深亚微米全耗尽SOI MOSFET参数提取方法的研究

基于BSIMSOI对深亚微米全耗尽SOI MOSFET参数提取方法进行了研究,提出一种借助ISE器件模拟软件进行参数提取的方法。该方法计算量小,参数提取效率高,不需要进行繁琐的器件数学建模,易于推广。将该方法提出的模型参数代入HSPICE进行仿真,模拟结果与实验数据相吻合,证明了这种方法的有效性和实用性。     

基于自适应粒子群优化的RBF毫米波信道建模研究

基于毫米波室内无线信道测量数据,将机器学习(machine learning,ML)中的径向基函数(radial basis function,RBF)方法应用于毫米波信道建模中,建立了基于自适应粒子群优化(adaptive particle swarm optimization,APSO)的RBF神经网络信道参数预测...     

A peeling algorithm for extraction of the HBT small-signal equivalent circuit

Direct extraction is the most accurate method for the determination of equivalent-circuits of heterojunction bipolar transistors (HBTs). The method is based on first determining the parasitic elements and then the intrinsic elements analytically. The accuracy and robustness of the whole algorithm therefore is determined by the quality of the extraction of the extrinsic elements. This paper focuses on a new extraction method for the extrinsic capacitances which have proven to be the main source of uncertainty compared to the other extrinsic parameters. Concerning the intrinsic parameters, all the elements are extracted using exact closed-form equations, including exact expressions for the base-collector capacitances, which model the distributed nature of the base. The expressions for the base-collector capacitances are valid for both the hybrid-/spl pi/ and the physics-based T-topology equivalent circuits. Extraction results for InP HBT devices on measured S-parameters up to 100 GHz demonstrate good modeling accuracy.