基于热干扰的管路自动敷设算法

基于热干扰分析,提出一种管路自动敷设算法。该算法以预处理和优化搜索为基本框架。在预处理阶段,利用混沌理论和热分析原理,建立基于热干扰分析的预处理模型。三维管路敷设空间经过预处理模型处理,有效地降低管路自动敷设算法的求解复杂度并保障了管路敷设的热安全性。在优化搜索阶段,通过改进蚁群算法,给出了高效的管路自动敷设算法。通过对比实验表明改进蚁群算法有效地增加了种群的多样性。最后,实例验证表明该算法的有效性和实用性。     

FINITE ELEMENT METHOD AND ANALYSIS FOR CHEMICAL-FLOODING SIMULATION

1.IntroductionThisarticlediscussestheenhanced0ilrecoverynumericalsimulationofthechemicalflood-ing(suchassurfactats,alcohol,polymers)c0mposed0f3-dimensional,multicomponent,muLtiphaseandincompressiblemixedfluids.Aftertheoilfieldiswaterfi0oded,thereisstillalargeamountofcrudeoilleftintheoildeposit.Thisamountofoil,boundedbycapillarypressure,cannotflow;or)asaresultofthedisadvantageousrateofflowbetweenthedisplacinganddisplacedphases,thevolumethattheinjectionfiowaffectsistoosmalltodrivethecrudeoil.By…     

直线电机地铁车辆曲线通过建模与仿真

分析了直线电机轮轨交通系统车辆与轨道结构的特点，针对广州地铁4号线车轨系统的特征，建立了其动态曲线通过模型。通过仿真计算得到了曲线半径、超高以及行车速度对车辆曲线通过时动力特性的影响规律。通过此项研究，为进一步探讨直线电机车辆曲线通过动力特性、优化线路设计参数以及轨道的养护维修工作打下了良好的基础。     

SERVICE VALUE NETWORKS： INTO PRACTICE

Modeling a business to match its customer perceived （and customer desired） outcomes, remains an on-going task. This paper considers shows how a service value networks （SVNs） approach may be engaged to model, and deliver, understanding of the front-end business and its direct engagement with its immediate （or front-end） customers. These front-end customers may be either： （1） its off-line, in-store customers - engaging directly with the business sales staff （or representative）, or-（2） its on-line, virtual customers - engaging with the business via internet or remote access. In this situation, both the business, and the customer draw upon their respective viewpoints, and both sides influence the interaction. External to these business and customer influences are additional factors that capture the immediate and broader global effects - termed environmental effects. These three business-customer engagement areas of influence are captured by a SVN SEM approach.
Without a business-customer encounter of some kind the likelihood of a services business, and a prospecting customer, successfully engaging in an exchange process is reduced. This exchange may be a physical, and/or services exchange, and/or an information and/or ideas exchange. To the business, this encounter is, in effect, a trade, and as a result, the business targets acquiring an economic exchange that will ultimately deliver a net positive economic outcome. To the customer, external and internal information feeds, servicing, perceived value, and satisfaction, are key encounter drivers. SVNs offers a new way to understand the business-customer encounter, and to then utilize this acquired knowledge to either： （1） build a strategic management model, or （2） reengineer its business networks, and to then create a re-positioned, more customer-aligned business operation - one that is capable of delivering win - win, competitive business-customer solutions.     

异步码分多址系统中盲窄带干扰抑制

对于在频率选择性衰落信道下,异步码分多址系统的窄带干扰的抑制,给出了基于MMSE的权值向量闭合表达式,为了降低算法计算量并自适应更新该闭合表达式,利用子空间方法对该闭合表达式进行逼近,同时利用子空间跟踪方法对该权值向量进行更新。由于该方法只需期望信号特征序列及其时延,因此是一种盲干扰抑制方法。该算法对窄带干扰类型不敏感而且不需要知道干扰模型,因而适用于抑制不同的窄带干扰。对BPSK、多频以及二者的混合窄带干扰模型进行了干扰抑制仿真,结果验证了该算法对不同的窄带干扰模型均可以取得很好的干扰抑制效果。     

跳频电台互调干扰估计的蒙特卡罗方法研究

在战场条件下,密集的用频装备之间所产生的互调干扰会造成信号严重失真,影响指挥通信控制系统（C3）的正常运转。针对电子战仿真环境中工作在VHF频段战场跳频电台之间的互调干扰问题,分析了互调干扰发生的时间、频率和功率条件,以及跳频电台随机位置和阴影效应的影响。研究了决定互调干扰概率的3个条件概率：两个及以上活跃信道的概率、活跃信道中信号频率满足互调干扰频率条件的概率和信号功率满足互调干扰功率条件的概率。在此基础上提出了基于蒙特卡罗方法的战场环境下跳频电台的互调干扰概率估计算法,并分别针对2路、3路信号的3阶互调干扰的仿真结果进行了仿真验证。仿真结果表明,提出的战场环境下跳频电台互调干扰概率估计方法,可以有效地对互调干扰概率进行估计,估计结果对于战场环境的电子战仿真以及战场的作战指挥具有一定的指导和借鉴意义。     

Opportunistic spectrum sharing in software defined wireless network

Over the past few decades, the world has witnessed a rapid growth in mobile and wireless networks（MWNs） which significantly change human life. However, proliferating mobile demands lead to several intractable challenges that MWN has to face. Software-defined network is expected as a promising way for future network and has captured growing attention. Network virtualization is an essential feature in software-defined wireless network（SDWN）, and it brings two new entities, physical networks and virtual networks. Accordingly, efficiently assigning spectrum resource to virtual networks is one of the fundamental problems in SDWN. Directly orienting towards the spectrum resource allocation problem, firstly, the fluctuation features of virtual network requirements in SDWN are researched, and the opportunistic spectrum sharing method is introduced to SDWN. Then, the problem is proved as NP-hardness. After that, a dynamic programming and graph theory based spectrum sharing algorithm is proposed.Simulations demonstrate that the opportunistic spectrum sharing method conspicuously improves the system performance up to around 20%–30% in SDWN, and the proposed algorithm achieves more efficient performance.     

基于支持向量机的典型宽带电磁干扰源识别

由于民航周围电磁环境复杂, 一旦产生电磁干扰(electromagnetic interference,EMI), 就不易被排查, 特别是随机性较强的宽带干扰。对此, 提出一种基于支持向量机(support vector machine, SVM)的干扰源识别方法。通过实时测量干扰信号的频谱数据, 并分析其特点, 选择包络因子、频谱能量、频谱峰值、均值和方差5个特征向量, 用主成分分析法降低数据冗余程度, 最后采用SVM来判断干扰源类型。仿真结果证明, 所提算法能有效识别6类典型机场宽带干扰源, 识别精度可达98.33%。     

联合变化检测与子带对消技术的SAR图像干扰抑制方法

子带对消(subband spectral cancellation, SSC)法是一种有效的合成孔径雷达(synthetic aperture radar, SAR)射频干扰(radio frequency interference, RFI)抑制方法, 但其在消除干扰的同时容易损失图像细节信息, 影响后续图像解译。为此, 在SSC方法的基础上, 联合变化检测技术, 提出一种改进的SAR图像干扰抑制方法。根据改进的对数比变化检测算子, 所提方法实现了干扰二次检测, 消除了干扰图像中的虚警信息, 避免了图像中有用信号的损失。基于欧空局Sentinel-1A卫星干涉宽幅模式受干扰SAR图像, 开展了干扰抑制与效果评估。实验结果表明, 所提方法能够在有效抑制干扰的同时尽可能保留SAR图像细节信息, 证明了所提方法的有效性。     

基于改进四元数阻尼误差模型的SINS初始对准算法

针对传统捷联惯导系统(strapdown inertial navigation system, SINS)四元数非线性误差模型存在坐标系不一致的问题, 对姿态误差模型和速度误差模型进行改进, 将误差矢量统一投影至计算导航坐标系下。此外, 引入全球定位系统阻尼信息, 在阻尼SINS解算基础上, 结合四元数无迹估计器提出了一种改进四元数阻尼误差模型对准算法, 可应用于系泊状态下的SINS初始对准。仿真和车载试验结果表明, 在不同的大失准角下, 该改进算法相比传统四元数阻尼误差模型对准算法和欧拉角阻尼误差模型对准算法, 具有更好的对准精度、收敛速度以及稳定性。