拉远基站与系统设备的互联互通

随着3G牌照发放日期的逐步临近,人们对第3代移动通信(3G)的认识也更加清晰.2G与3G将融合发展,平滑过渡.2G业务增长的数据显示,2G还有很大的发展空间,2G与3G的过渡将是一个长期的过程.3G将首先在一些热点地区、业务量大的地方优先使用,在开始的时候没有必要大规模铺网,只需采用一些拉远基站就可以解决这些地区的3G覆盖问题.文章从网络应用的角度论述了拉远基站在未来3G组网中的重要作用,分析了目前部署3G拉远基站可能存在的问题,对互联互通、站址和网管等问题的解决方法提出了建议.     

舰船导航信号发生器虚拟化设计

介绍了基于PC总线的便携式舰船导航信号发生器虚拟化设计，着重叙述该仪器硬件设计、基于虚拟仪器开发平台LabWindows／CVI的软件设计。     

应用多抽样率信号处理实现SSB调制信号

在探讨了软件无线电的基本概念,基于软件无线电定义的发射平台结构及多抽样率数字信号处理的基本内容的基础上,着重探讨了软件无线电发射平台中多抽样率数字信号处理的应用,并以单边带调制信号(SSB)为例,指出与传统SSB产生方法不同的结构。     

基于虚拟仪器的虚拟实验模块化研究

由于计算机网络技术和微电子技术的迅速发展和普及,基于虚拟仪器的虚拟实验已经从初期的尝试走向更加完善的开发和应用,从一定程度上弥补了传统实体实验的不足。另一方面,在虚拟实验的设计开发和使用过程中,虚拟设备存在着重复开发、重用性差等问题,而模块化虚拟实验单元具有标准化、灵活性、用户自主性等特点,为这一问题的解决提供了有效的途径,具有良好的发展前景和实际应用价值。     

虚拟现实技术的若干问题及发展展望

虚拟现实技术是上个世纪后50年发展起来的一门新兴边缘学科,本文对虚拟现实技术的概念、分类、研究现状、其关键技术及技术难题等方面做了阐述,并对虚拟现实技术的发展进行展望。     

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.     

基于软件无线电的突发模式8DPSK的全数字化实现

提出了一种软件无线电中频收发机的结构和突发模式 8DPSK解调的实现框架 ,在 8DPSK解调时采用了前向初始参数估计算法 ,并证实了该算法的可行性。     

基于EDA虚拟实验室仿真精确度优化算法的研究

描述了一种减少仿真时所需计算次数的新技术,使得产品的优化可通过参数的变化来实现,并介绍一种改进SA的算法对获得的结果进行优化。     

Enhancing cognitive radio systems with robust reasoning

Cognitive radio systems dynamically reconfigure the algorithms and parameters they use, in order to adapt to the changing environment conditions. However, reaching proper reconfiguration decisions presupposes a way of knowing, with high enough assurance, the capabilities of the alternate configurations, especially in terms of achievable transmission capacity and coverage. The present paper addresses this problem, firstly, by specifying a complete process for extracting estimations of the capabilities of candidate configurations, in terms of transmission capacity and coverage, and, secondly, by enhancing these estimations with the employment of a machine learning technique. The technique is based on the use of Bayesian Networks, in conjunction with an effective learning and adaptation strategy, and aims at extracting and exploiting knowledge and experience, in order to reach robust (i.e. stable and reliable) estimations of the configurations' capabilities. Comprehensive results of the proposed method are presented, in order to validate its functionality. Copyright © 2007 John Wiley & Sons, Ltd.     

Frames of Reference in Mobile Augmented Reality Displays.

In 3 experiments, the authors investigated spatial updating in augmented reality environments. Participants learned locations of virtual objects on the physical floor. They were turned to appropriate facing directions while blindfolded before making pointing judgments (e.g., "Imagine you are facing X. Point to Y"). Experiments manipulated the angular difference between the learning heading and the imagined heading and between the actual heading and the imagined heading. The effect of actual-imagined on pointing latency was observed for naive users but not for users with brief training or instructions concerning the fact that objects can move with body movements. The results indicated that naive users used an environment-stabilized reference frame to access information arrays, but with experience and instruction the nature of the representation changed from an environment stabilized to a body stabilized reference frame. (PsycINFO Database Record (c) 2010 APA, all rights reserved)