One-bit splitting deceptive jamming against SAR

One-bit quantization is a promising technique due to its performance retention and complexity reduction in a deceptive jammer against synthetic aperture radar (SAR). In this paper, the 1-bit quantization technology is utilized to agilely generate split false targets in the SAR imagery once the radar signal is intercepted, which reduces the complexity of the jammer significantly with guaranteed focusing quality. A single-frequency threshold is used to decompose harmonics incurred by the 1-bit quantization, and its parameters are adjusted through different pulse repetition intervals to provide steerable modulations. In this way, the SAR signal is split into coupled false scatterers during the 1-bit interception. By further deploying amplitude, time-delay, and Doppler frequency modulations on the 1-bit intercepted signal, the split false targets are created. The proposed approach is compared with different deceptive jamming methods to show its validity in effectiveness and cost, and numerical experiments are also presented for verification.     

FBN和JF402在泡沫洗消剂中的展开作用及其对泡沫性能的影响

研究了FBN、JF402 2种碳氟表面活性剂与发泡剂配伍后形成的水溶液在油面上的铺展及泡沫性能（发泡力和稳定性）。结果表明FBN、JF402的加入可提高体系的铺展能力。FBN的铺展性能好于JF402,但JF402泡沫性能好于FBN。     

城市微小尺度风场的数值模拟

利用一个三维气象模式对城市建筑周围风场进行了数值模拟,并与相应的实验结果进行比较,结果表明该数值模拟方法可以精细地反映建筑物周围的流场特征。     

Bayesian strategies for dynamic pricing in e‐commerce

E‐commerce platforms afford retailers unprecedented visibility into customer purchase behavior and provide an environment in which prices can be updated quickly and cheaply in response to changing market conditions. This study investigates dynamic pricing strategies for maximizing revenue in an Internet retail channel by actively learning customers' demand response to price. A general methodology is proposed for dynamically pricing information goods, as well as other nonperishable products for which inventory levels are not an essential consideration in pricing. A Bayesian model of demand uncertainty involving the Dirichlet distribution or a mixture of such distributions as a prior captures a wide range of beliefs about customer demand. We provide both analytic formulas and efficient approximation methods for updating these prior distributions after sales data have been observed. We then investigate several strategies for sequential pricing based on index functions that consider both the potential revenue and the information value of selecting prices. These strategies require a manageable amount of computation, are robust to many types of prior misspecification, and yield high revenues compared to static pricing and passive learning approaches. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

关系数据库规范化设计理论探析

数据库设计是数据库应用领域的主要研究课题,是继需求分析后的一个非常重要的环节。关系数据库设计的重点难点就是数据库的规范化理论,必须深入透彻的理解规范化理论,才能设计出一个高质量的数据库。根据数据库设计理论和应用要求,通过通俗易懂的实例详尽地说明了1NF、2NF、3NF和BCNF在数据库设计中的具体操作步骤和方法,对于数据库设计有重要的指导意义。     

潜艇指控系统技术和发展分析

介绍和分析了国外潜艇指控系统的发展概况和技术特点,然后回顾了国内潜艇指控系统发展。从满足未来海军潜艇作战需求出发,论述了一体化建设对潜艇指挥体系的重要性及下一代潜艇指控系统的能力需求,提出了着重要解决的技术问题。     

无监督特征学习的人体活动识别

针对人的局限性可能会导致在提取特征中丢失重要信息,从而影响最终的识别效果问题,提出无监督特征学习技术的惯性传感器特征提取方法。其核心思想是使用无监督特征学习方法学习多个特征映射,再将所有特征映射拼接起来形成最终的特征计算方法。其优点是不会造成重要信息的损失,而且可以显著减少所使用的无监督特征学习模型的规模。为了验证所提出的特征提取方法在活动识别中的有效性,运用一个公开的活动识别数据集,使用三种常用无监督模型进行特征提取,并使用支持向量机进行活动识别。实验结果表明,特征提取方法取得了良好的效果,与其他方法相比具有一定的优势。     

GPS接收机模糊搜索粗时定位方法

由于难以获得免时定位算法所需的接收机概略位置,提出模糊搜索的粗时定位方法。为减小搜索空间,在位同步后优选几何精度因子值较好的4颗卫星通过遍历伪距模糊的方式进行位置估计,并基于伪距残余均方根最小准则选出最合理的位置估算结果。根据概略位置恢复所有卫星的完整伪距。利用5状态的免时定位算法估计接收机位置。使用11个国际卫星导航服务观测站的观测数据对算法进行验证,结果表明,在概略位置未知情况下该方法能够实现粗时定位,且定位精度与直接使用完整伪距的精时最小二乘定位精度相当。     

基于灰色预测的时敏军事任务调度模型

为有效利用栅格化军事信息系统硬件冗余资源,提高系统运行时效,保证时敏军事任务执行效果,基于灰色理论的GM(1,1),提出了一种时敏军事任务调度模型。构建了基于主动式主/副本机制的调度流程,并针对普通(阈值)调度模型和模糊控制调度模型中调度触发的滞后和调度价值不确定的问题,设计了预测型调度时间窗口,有效优化了调度触发机制。最后通过仿真实验,考察了3种调度模型的有效性,结果表明模型虽然耗费了较大的调度开销,但在降低总体任务用时上作用明显。     

MEMS磁力线聚集和垂动调制磁场传感器

针对巨磁阻和磁隧道结等磁阻元件的1/f噪声,提出一种采用微机电系统的磁力线聚集和垂动调制磁场传感器。通过将被测磁场从低频转移到几kHz,实现对磁场的DC/AC转化,从而减小了磁阻元件的1/f噪声。基于该方案采用多层膜巨磁阻元件AA002制作了磁场传感器样品,并进行了实验测试,结果表明:磁传感器样品的调制效率达到了19.3%,超过了已有的其他各种调制方案,同时低频磁场的探测能力达到槡120pT/Hz,相比巨磁阻元件AA002提高了40多倍。