大功率超快半导体光电导开关的触发瞬态特性

报道了用ns和fs超快脉冲激光器触发GaAs光电导开关的实验结果.用μJ量级的ns光脉冲触发3mm间隙的GaAs光电导开关,观察到线性和非线性工作模式,峰值电流达560A.当用重复率为76MHz的fs激光脉冲串触发同一器件时,电流脉冲上升时间小于200ps.     

高动态GPS卫星信号模拟器关键技术分析及应用

介绍了高动态GPS卫星信号模拟器的组成,阐述了模拟器的工作原理,给出了在研模拟器的主要技术指标,分析了模拟器研制涉及到的部分关键技术:高动态信号的产生与精度控制、电离层延迟误差模拟、多径信号模拟和差分数据产生,最后列举了高动态GPS卫星信号模拟器的几种应用。     

基于FSO系统极化码的改进译码方案研究

针对服从对数正态分布的大气弱湍流信道模型,选用极化码来改善FSO系统传输性能。引入一种基于3×3核心矩阵的置信传播(BP)译码方法,对核心矩阵、码字长度、以及基本单元计算式进行了改进。对比采用新型BP译码方法与传统BP译码方法的FSO系统误码率性能。仿真实验结果表明,改进型BP译码方法与传统BP译码方法相比有着更低的误码率。由于系统构造的原因,改进型BP译码占用的存储空间较少、译码延迟时间短,在码长较长的情况下,对FSO系统传输性能有较大的提升。     

一种改进的QR码图像二值化算法

对光照不均的QR码图像进行全局二值化处理后,会出现全白或全黑的误差区域,在局部二值化过程中会出现伪边界情况,并且计算时间也会变长。针对光照不均的QR码图像提出了一种改进的基于背景灰度的二值化算法。首先,根据二维码源图像大小进行分块处理,使用灰度估算公式对分块的灰度值进行计算。其次,使用联合插值算法产生背景灰度水平图像,然后用背景灰度水平图像替代源图像得到校正图像。最后,采用Ostu算法对校正图像进行二值化。实验结果表明,该算法能有效的校正光照不均的QR图像,并得到一个良好的二值化图像。     

基于GPU的Viterbi并行解码算法的设计与实现

针对GPU并行计算特征,对Viterbi解码自身做了并行处理探索,并提出使用Zero-Termination卷积码来实现基于GPU的Viterbi解码分块并行处理.设计的实现结果表明:Zero-Termination卷积码的简单而适用于GPU分块并行;误码率降低,特别是在信噪比低的情况下,Zero-Termination卷积码误码率比不损失码率的卷积码要低.同时,还实现了基于GPU的7,9,15三种不同约束长度的Viterbi解码,获得了良好的误码性能曲线及高吞吐率表现.     

基于DPCM算法的测井数据压缩

由于现实中测井数据数据量大,数据传输实时性强,这就要求传输效率要尽可能地高。但是目前大多数油田仍采用直接传输采样数据的方式。因此提出了一种基于DPCM算法的测井数据传输方式。针对编码方式的特点,设计了编码流程图。对测井数据进行了相关的预处理,再进行编码实现。经仿真实验后发现,差值编码能够有效地去除数据之间的冗余,在保证编码压缩后的测井数据与原始测井数据误差不超过5%的情况下,经压缩后的测井数据量为原始测井数据量的1/2,因此测井数据的传输效率提高到了2倍。     

Towards Designing a Trusted Routing Solution in Mobile Ad Hoc Networks

Designing a trusted and secure routing solution in an untrustworthy scenario is always a challenging problem. Lack of physical security and low trust levels among nodes in an ad hoc network demands a secure end-to-end route free of any malicious entity. This is particularly challenging when malicious nodes collude with one another to disrupt the network operation. In this paper we have designed a secure routing solution to find an end-to-end route free of malicious nodes with collaborative effort from the neighbors. We have also extended the solution to secure the network against colluding malicious nodes, which, to the best of our knowledge, is the first such solution proposed. We have also proposed a framework for computing and distributing trusts that can be used with out trusted routing protocol. Our proposed framework is unique and different from the other schemes in that it tries to analyze the psychology of the attacker and quantifies the behavior in the computational model. Extensive simulation has been carried out to evaluate the design of our protocol. Partially funded by Department of Defense Award No. H98230-04-C-0460, Department of Transportation Project No. FL-26-7102-00 and National Science Foundation Grant Nos. ANI-0123950 and CCR-0196557. Tirthankar Ghosh is a PhD candidate in the Telecommunications and Information Technology Institute at Florida International University. His area of research is routing security and trust computation in wireless ad hoc and sensor networks. He received his Bachelor of Electrical Engineering from Jadavpur University, India and Masters in Computer Engineering from Florida International University. Dr. Niki Pissinou received her Ph.D. in Computer Science from the University of Southern California, her M.S. in Computer Science from the University of California at Riverside, and her B.S.I.S.E. in Industrial and Systems Engineering from The Ohio State University. She is currently a tenured professor and the director of the Telecommunication & Information Technology Institute at FIU. Previously Dr. Pissinou was a tenured faculty at the Center for Advanced Computer Studies at the University of Louisiana at Lafayette where she was also the director of the Telecommunication & Information & Technology Laboratory partially funded by NASA, and the co-director of the NOMAD: A Wireless and Nomadic Laboratory partially funded by NSF, and the Advanced Network Laboratory. Dr. Pissinou is active in the fields computer networks, information technology and distributed systems. Dr. Kami (Sam) Makki has earned his Ph.D. in Computer Science from the University of Queensland in Brisbane Australia, his Masters degree in Computer Science and Engineering from the University of New South Wales in Sydney Australia, and his Bachelor and Masters Degrees in Civil Engineering from the University of Tehran Iran. Before joining the department of Electrical Engineering and Computer Science at the University of Toledo he has held a number of academic positions and research appointments at the Queensland University of Technology in Brisbane, Royal Melbourne Institution of Technology in Melbourne and at The University of Queensland in Brisbane Australia. He is an active researcher in the fields of distributed systems, databases, mobile and wireless communications, and has more than 30 publications in peerreviewed journals and international proceedings. He has served as a chair and technical program committee member and reviewer for a number of IEEE and ACM sponsored technical conferences and has received a number of achievement awards.     

一种BCH码的新型译码方法在TPS信息提取中的应用

针对DVB-T数字电视接收机中TPS信息提取使用的BCH(127,113,t=2)码的(67,53,t=2)缩短码提出了一种新的译码算法,并给出了DVB-T接收芯片中应用该译码算法的TPS信息提取模块的FPGA实现.该算法与传统的BCH译码算法相比,它可同时纠正随机和突发错误,提高纠错能力,并且具有译码速度块,硬件实现复杂度低等优点.     

环F4+uF4上线性码及其对偶码的Gray象

研究了环F4+uF4与域F4上的线性码,利用环F4+uF4上码C的Gray重量wG,Gray距离d G和(F4+uF4)n到F4 2n的Gray映射φ,证明了环F4+uF4上线性码C及其对偶码的Gray像φ(C)为F4上的线性码和对偶且dH G(φ(C))dG(C)。同时,给出了F4+uF4上循环码C的Gray像φ(C)为F4上的2-拟循环码。     

智能ODN解决方案及应用探讨

智能光分配网络(ODN)技术因具有可管可控、稳定高效等优势,已成为近期光纤接入(FTTx)网络建设与改造的研究重点。首先,通过简单介绍业界三种典型的智能ODN解决方案,然后分析各自的差异性和优缺点,并提出了一种基于电子标签和二维码的智能ODN解决方案。最后,对智能ODN系统的发展进行了展望,认为制定智能ODN规范标准以及提高产品兼容性对实现ODN规模化发展及差异化运营具有重要的意义。