微波BJT超宽带低噪声放大器的设计

本文给出了一种频带覆盖达１０－１６００ＭＨｚ的微波ＢＪＴ超宽带低噪声放大器的设计方法，从微波ＢＪＴ的噪声模型出发，通过拟合５０Ω源阻抗下微波ＢＪＴ的噪声系数ＮＦ５０和Ｓ参数来提取其噪声参数，然后根据增益，噪声及驻波比要求优化设计放大器，使放大器在超宽带范围内获得平坦增益和低噪声，本文所给出的微波ＢＪＴ惨数提取及放大器优化设计方法已由实验结果所验证。     

超宽带无线通信技术概述

主要介绍了超宽带(UWB)无线通信技术的起源、概念及其基本工作原理，包括信号产生、系统构成、天线、接收机、调制方式等，阐述了UWB中的关键技术及性能特点，对UWB的局限性作了简要的介绍。     

A Novel Channel Predictor Based on Constrained Hidden Markov Model

1　Introduction　Linkadaptationtechniqueisnowwidelyrecognizedasakeysolutiontoincreasethespectralefficiencyofwire lesssystems[1～ 3] .GPRS ,EDGE ,cdma2 0 0 0andWCDMAallincludelinkadaptationasameanstopro videhigherdatarates[4～ 5] .Torealizethepotentialoflinkadaptation ,reliablechannel predictionisneces sary[6 ] .　Therearemanydifferentchannelpredictionmethodsavailablenow ,suchasLongRangePrediction(LRP) [6 ] ,predictionbasedonsubspacesignalprocess ingalgorithms[7] ,predictionbasedonFinit…     

一种异地库房管理中远程数据维护方法的研究与应用

介绍了在异地库房管理中，采用C／S结构和远程数据库访问技术等实现的对远程数据维护的一种方法。通过该方法开发的远程数据传输系统，实现了远程客户端对服务器的通信，完成了远程数据在后台服务器的集中管理和服务器对远程数据的格式、类型等的控制，同时保证了远程客户端对服务器操作的并发性，客户端数据和服务器数据的完整性、安全性以及远程客户端数据与后台服务器数据的一致性，有效地维护了远程数据。该系统已成功运用于库房管理之中。     

A Review of Wavelets for Digital Wireless Communication

Wavelets have been favorably applied in almost all aspects of digital wireless communication systems including data compression, source and channel coding, signal denoising, channel modeling and design of transceivers. The main property of wavelets in these applications is in their flexibility and ability to characterize signals accurately. In this paper recent trends and developments in the use of wavelets in wireless communications are reviewed. Major applications of wavelets in wireless channel modeling, interference mitigation, denoising, OFDM modulation, multiple access, Ultra Wideband communications, cognitive radio and wireless networks are surveyed. The confluence of information and communication technologies and the possibility of ubiquitous connectivity have posed a challenge to developing technologies and architectures capable of handling large volumes of data under severe resource constraints such as power and bandwidth. Wavelets are uniquely qualified to address this challenge. The flexibility and adaptation provided by wavelets have made wavelet technology a strong candidate for future wireless communication. Madan Kumar Lakshmanan was born in Chennai, India, in 1979. He received the B.E. (with distinction) in electrical engineering from the University of Madras, Chennai, India, in 2000. He joined the Indian Software firm, Polaris Software Labs Ltd., in 2000 where he wrote software for Telecommunication applications. At Polaris, he was awarded the “On The Spot Of Excellence Award” for his efforts. In 2003, he moved to the Indian Institute of Technology-Madras, to develop and establish a wireless communications network for rural connectivity. In 2004, he was awarded the Royal Dutch/Shell Chevning scholarship to pursue a Master degree in Telecommunications at the Delft University of Technology (TUDelft). At TUDelft he is affiliated to the International Research Center for Telecommunications-Transmission and Radar (IRCTR) where he is undertaking research in the field of wavelets applications in Wireless Communications. Homayoun Nikookar received his Ph.D. in Electrical Engineering from Delft University of Technology (TUDelft), The Netherlands, in 1995. From 1995 to 1998 he was a postdoc researcher at the International Research Center for Telecommunications-Transmission and Radar, TUDelft, where since 1999 he has been an Assistant Professor. Dr. Nikookar has done research on different areas of wireless communications, including wireless channel modeling, UWB, MIMO, multicarrier transmission, Wavelet-based OFDM and CDMA. He is a senior member of the IEEE.     

Engset multi‐rate state‐dependent loss models with QoS guarantee

We consider a single link loss system of quasi‐random input, described by the Engset multirate loss model (EnMLM). Blocked calls may once reattempt to be connected to the system requiring less bandwidth; then the system is described by the single retry model for finite sources (f‐SRM). The EnMLM and the f‐SRM are extended with the single threshold finite source model (f‐STM), where calls may attempt to be connected to the system with less bandwidth requirements, according to the link occupancy, before blocking occurs. We focus on CBP equalization in the EnMLM, f‐SRM and f‐STM, under the bandwidth reservation (BR) policy. For this analysis, we apply two approximate methods, the Roberts' method and the method of reverse transition rates (RTR), which lead to a recursive CBP calculation. We evaluate the accuracy of the above models under the BR policy by comparing the analytical with simulation CBP results, based on the relative approximation errors (RAE). The results are highly satisfactory because they show that the proposed models (formulas) lead to small RAE. Copyright © 2005 John Wiley & Sons, Ltd.     

高可用性舰船网络系统研究

随着舰船信息系统网络化应用的不断增加,信息系统对舰船网络的依赖性也在不断增强,这对网络持续提供服务的高可用能力提出了更高的要求。鉴于目前舰船网络系统的可用性不能满足舰船信息业务对数据中断恢复时间所提出的要求,将最新的商用高可用性IRF2技术引入舰船网络系统,提出了一种新的舰船网络系统方案。该方案采用双交换机堆叠及跨交换机链路聚合的方式实现网络的网关冗余和路径冗余,简化了网络的逻辑结构,提高了整网的故障恢复时间。通过搭建的原型系统对方案的重要参数进行了测试,结果表明：相比于目前的舰船网络,该方案提升了网络效率,并将故障倒换时间从秒级缩短到了50ms级。     

车载网中一种基于链路稳定度的路由方法

车载自组织网络VANET(vehicular ad hoc network)由于车辆高速移动性、分布不均匀、运动行为受交通环境限制等因素的影响,使得VANET具有网络拓扑结构变化频繁、传输信号受干扰大、网络易于断裂等固有特性。路由选择是VANET的重要组成部分。如何选择下一跳节点是实现路由方法的关键,链路稳定度是衡量VANET性能的重要因素。本文通过计算预期路径的链路稳定度来选择下一跳节点,提出一种基于链路稳定度的路由方法。实验结果表明与传统的AODV相比,本文提出的方法在端到端延时,数据包的传递率等方面有较大的提高。