Data-efficient blind OFDM channel estimation using receiver diversity

We investigate non data-aided channel estimation for cyclically prefixed orthogonal frequency division multiplexing (OFDM) systems. By exploiting channel diversity using only two receive antennas, a blind deterministic algorithm is proposed. Identifiability conditions are derived that guarantee the perfect channel retrieval in the absence of noise. In the presence of noise, the proposed method has the desired property of being data efficient-only a single OFDM block is needed to achieve good estimation performance for a wide range of SNR values. The algorithm is also robust to input symbols as it does not have any restriction on the input symbols with regard to their constellation or their statistical properties. In addition, this diversity-based algorithm is computationally efficient, and its performance compares favorably to most existing blind algorithms.     

数字签名技术在解决密钥泄露方面的发展

密钥泄露对数字签名的危害越来越成为人们关注的焦点，该问题很难找到完全彻底的解决办法，只能尽可能减少其危害。对此专家和学者提出了很多新的数字签名机制，这里详细介绍了其中的一些，并指出它们各自的优缺点。针对在SiBIR数字签名机制中由于网络拥塞或攻击者的恶意拦截使得更新信息丢失造成signer和home base不能保持同步的问题，我们提出了超时同步机制。     

分布式无线传感器网络通信协议研究

在归纳分布式无线传感器网络研究进展的基础上，给出了综合分布式无线传感器网络技术各个方面的协议体系结构，并在新的体系结构下，系统地阐述了分布式无线传感器网络通信协议研究的进展，介绍了典型的应用案例和国外相关计划的研究情况。最后，指明了这一处于发展初期的研究领域的未来发展方向。     

Phosphorus‐containing polyaryloxydiphenylsilanes with high flame retardance arising from a phosphorus–silicon synergistic effect

Polyaryloxydiphenylsilanes were prepared from phosphorus‐containing diols and diphenydichlorolsilane through solution polymerization. With a stoichiometric imbalance in feed monomers, the resulting polymers exhibited moderate melting points and good processing properties. The polymers prepared showed initial decomposition temperatures above 340 °C, excellent thermal stability, high char yields at 850 °C and very high limited oxygen index values of 56–59. The polymers' char yields and their (P + Si) contents showed linear relationships. © 2003 Society of Chemical Industry     

WuM1-1羽状分支水平井充气钻井液技术

WuM1-1井由1口多分支水平井和1口采气的直井组成。该井斜井段短,井斜率在30°/100 m以上,主井眼和10个分支井段总进尺6182 m,98%以上在煤层中钻进,煤层脆、压实性较好,更易发生掉块。为满足钻井对井壁稳定性、润滑性、井眼净化以及煤层保护等的要求,采用钾铵基聚合物防塌钻井液进行充气欠平衡钻井,在钻进中保持钻井液有合适的粘度、切力,选用合适的注气压力和注气量以及当量钻井液密度;每钻完一个立柱坚持循环几分钟,上下划眼一次,并泵入CMC高粘钻井液,配合有效使用固控设备,尽量使井眼干净;复配使用粉末状固体润滑剂和液体润滑剂。该钻井液性能稳定,易于维护,悬浮携岩能力强,润滑性好,井眼畅通,保证了WuM1-1井安全、快速、优质施工。该井在煤层钻进中无阻卡现象,井壁稳定,没有出现井壁掉块或井垮现象,水平连通一次成功,10口分支井悬空侧钻一次成功,只用57 d即顺利完井,比该地区常规钻井快49倍。     

热作模具钢表面激光堆焊耐磨合金层的研究

本文主要通过在H13钢上用大功率CO_2激光束进行堆焊,阐述了激光堆焊工艺变化对堆焊组织和性能的影响,在本试验条件下,得到了高密度弥散金属化合物组织的激光堆焊层,平均硬度为HV800,与基体呈冶金结合,耐磨性比H13模具钢提高149%。     

A Neural Network Approach for Signal Detection in Digital Communications

In this paper, we propose a new approach for signal detection in wireless digital communications based on the neural network with transient chaos and time-varying gain (NNTCTG), and give a concrete model of the signal detector after appropriate transformations and mappings. It is well known that the problem of the maximum likelihood signal detection can be described as a complex optimization problem that has so many local optima that conventional Hopfield-type neural networks fail to solve. By refraining from the serious local optima problem of Hopfield-type neural networks, the NNTCTG makes use of the time-varying parameters of the recurrent neural network to control the evolving behavior of the network so that the network undergoes the transition from chaotic behavior to gradient convergence. It has richer and more flexible dynamics rather than conventional neural networks only with point attractors, so that it can be expected to have much ability to search for globally optimal or near-optimal solutions. After going through a transiently inverse-bifurcation process, the NNTCTG can approach the global optimum or the neighborhood of global optimum of our problem. Simulation experiments have been performed to show the effectiveness and validation of the proposed neural network based method for the signal detection in digital communications.     

基于重量分析的OBDD变量排序算法

有序的二叉判决图（ＯＢＤＤ）是布尔表达式的一种有效表示方法，但它的体积对变量排序具有较强的依赖性。本文提出一种电路结构图，并在此基础上定义了原始输入重量和节点重量等参数，并建立了用重量分析来指导的ＯＢＤＤ变量排序算法。由于从考虑变量对输出函数的影响出发与从考虑ＯＢＤＤ节点共享性出发对变量排序的要求不同，本文分别设计了两类算法。实验结果表明，本文对大多数标准电路变量排序的效果都优于国际上的同类算法，     

LDD方法在提高电路工作电压中的应用研究

研究了利用轻掺杂漏结构来制作高电源电压器件的工艺方法。分析了ＬＤＤ结构参数对器件击穿特性的影响，并结合实验结果对Ｎ＾－区的注入剂量，长度及引入的串联电阻进行了优化设计。     

存在噪声和未建模动态系统传递函数的渐近无偏估计

存在未建模动态时，如何去除系统传递函数估计中噪声引起的偏差是系统辨识关心的重要问题。本文将我们已提出的ＢＥＬＳ方法进行推广得出：当系统未建模动态可用－ＦＩＲ模型描述时，应用本文的方法可得到系统传递函数的无偏辨识，而不需知道有关噪声和未建模动态概率分布函数的先验知识。