基于动态资源预测的模糊最小相对容量损失路由算法

提出了一种适用于波分复用光网络的模糊最小相对容量损失路由模型及算法.该算法能够基于不完全的网络状态信息作出路由判断,从而减少对整个网络状态信息的需求.在此算法中,我们提出了层状态信息处理规则和模糊化的网络状态信息模型,使得该路由算法具有一定的动态资源预测的能力,并深入探讨了模糊最小相对容量损失的路由选择及性能优化原则.通过仿真试验表明,我们提出的基于层状态信息处理规则的模糊最小相对容量损失路由算法的性能与基于全网状态信息下的耗尽算法EA(exhaustive algorithm)和最小阻塞算法 LCP(least-congested-path)非常接近.当网络负载较重时,在单位信息量下的网络阻塞性能要优于EA和LCP路由.这说明与其他己知算法相比,模糊最小相对容量损失路由算法更适用于不完全状态信息下的负载较重的网络路由.     

基于近场测试的相控阵天线自动化校准 与阵面监测方法

相控阵天线装配好之后,由于各组成部件机械加工误差、装配误差、部件老化更换和环境温度改变等因素,各 单元通道的初始幅相产生差异,因此必须对天线的所有系统进行校准。本文针对小型化相控阵平台,通过硬连接将相控 阵天线的波控系统与测试设备相结合,提出一种简便的自动化近场逐点校准方法。同时,本文还提出一种简单的外监测 方法。当相控阵天线工作期间,可对阵面的幅相分布进行监测。可在相控阵天线工作期间,对近场幅相校准数据进行修 正,达到阵面自身校准的目的。经对一个16阵元的相控阵天线进行实验测量可知,该自动化校准与阵面自身校准方法可 以准确、快捷测试出天线阵面的幅相分布。非常适合一维、二维相控阵天线,尤其是小型化相控阵天线的幅相校准与监 测。     

Novel Oxide Trap Behavior in Ultra Thin Gate and Its Study by PDO Method

The degradation of MOSFETs under high field stress has been investigated for a long time. The degradation is due to the newly generated traps. As the gate thickness scaled down rapidly, a conventional method for detecting oxide traps, such as C-V or subthreshold swing, is no longer effective. Some new phenomena also appear, such as Stress Induced Leakage Current (SILC) and soft-breakdown. The oxide traps' behavior and their characteristics are the key problems in the study of degradation. By extracting the change of transition coefficients from the I-V curve and using the PDO (Proportional Differential Operator) method, various oxide traps can be distinguished and as would be helpful in the determination of trap behavior changes during the degradation process.     

Queue length‐based load balancing in data center networks

Traffic load balancing in data centers is an important requirement. Traffic dynamics and possibilities of changes in the topology (e.g., failures and asymmetries) make load balancing a challenging task. Existing end‐host–based schemes either employ the predominantly used ECN or combine it with RTT to get congestion information of paths. Both congestion signals, ECN and RTT, have limitations; ECN only tells whether the queue length is above or below a threshold value but does not inform about the extent of congestion; similarly, RTT in data center networks is on the scale of up to few hundreds of microseconds, and current data center operating systems lack fine‐grained microsecond‐level timers. Therefore, there is a need of a new congestion signal which should give accurate information of congestion along the path. Furthermore, in end‐host–based schemes, detecting asymmetries in the topology is challenging due to the inability to accurately measure RTT on the scale of microseconds. This paper presents QLLB, an end‐host–based, queue length–based load balancing scheme. QLLB employs a new queue length–based congestion signal that gives an exact measure of congestion along the paths. Furthermore, QLLB uses relative‐RTT to detect asymmetries in the topology. QLLB is implemented in ns‐3 and compared with ECMP, CONGA, and Hermes. The results show that QLLB significantly improves performance of short flows over the other schemes and performs within acceptable level, of CONGA and Hermes, for long flows. In addition, QLLB effectively detects asymmetric paths and performs better than Hermes under high loads.     

钻井平台现场油料消耗高精度计量研究

本文分析了钻井平台现场传感器系统对系统油耗计量精度带来的影响,提出了一种系统测量误差补偿算法,并建立出了数学模型。在VC＋＋的实验平台上实现了该算法,并做了储油罐进出油实验。实验证明,系统测量的相对误差被控制在0.6%左右,精度较高。     

基于连续干扰消除的超奈奎斯特信号迭代接收技术

为了消除超奈奎斯特(FTN)调制技术引入的干扰,设计了基于连续干扰消除(SIC)的Tur-bo迭代均衡接收机.对于单载波FTN系统,首先建立了FTN信号等效模型,然后接收机根据等效模型和译码器输出的软信息重建干扰,并通过多次连续干扰消除和译码逐步消除,具有较低的复杂度.同样地,在多载波FTN系统中,根据译码器输出的软信息和成型脉冲的时频特性重建引入的干扰并通过多次迭代给予消除.仿真表明,在加速因子不是太小时,基于SIC-Turbo均衡的接收机能够有效消除干扰,可获得近似正交传输时的误码性能.     

基于PSD的腔体相对位移测量方法设计

为了测量只能在侧壁安装检测装置的腔体间相对位移,设计了基于面光源的光位移传感器（PSD）位移测量系统。系统将PSD两路电信号的I-V转换、反向放大等信号调理在一片AD824处理,并采用对射式的检测方法,减小了系统体积,简化了结构设计。介绍了位移测量实现过程,并设计系统的标定工装,通过数据后处理方法减小测量误差,提高测量精度。实验结果表明,系统在30mm量程范围内线性度好,可重复性高,工作在10KHz不失真,可用于腔体振动等测量,具有很高的实用性。     

利用FB-MAPES算法估计Tomography SAR高度维信号源数

层析成像合成孔径雷达(Tomography SAR)结合空间谱估计技术解决层叠效应时,首先要估计出高度维信号源数目,信号源数估计得正确与否直接关系到后续处理的估计性能。用传统的信息论方法估计时,由于数据受乘性噪声影响,估计性能下降。该文提出一种新的信号源数估计方法：双向平滑多视幅相估计(FB-MAPES)滤波器算法。通过Monte Carlo仿真对信息论方法中的GMDL算法和FB-MAPES方法的估计性能进行了比较,试验结果表明该文提出的方法能够更好地适应乘性噪声的影响,因而在估计Tomography SAR高度维信号源数时性能优于传统的信息论方法。     

基于中频模板信号的脉冲压缩性能分析

由雷达发射、接收系统导致的信号幅度、相位失真以及由目标径向速度导致的目标多普勒频率是影响脉冲压缩性能的三个主要因素。本文从理论上分析了这三个因素影响脉冲压缩性能的算法原理,通过仿真验证了它们的实际影响效果,对仿真中的情况进行解释说明,对相应指标要求进行了分析,并对在影响脉冲压缩性能的因素存在下的信号处理方法提出了实际的建议。     

冲击波超压传感器IEPE电路设计

对压电式冲击波超压传感器压电集成电路(IEPE)的优点、原理及结构进行了分析与探讨,设计了基于分立式器件的IEPE电路。对电路进行了仿真和验证试验,得到了电路的放大倍数、幅频特性、线性度及温度特性。试验结果表明电路频响带宽大于600 kHz,线性度约为0.4%,全温下频响的波动程度小于4.3%,能够满足冲击波超压传感器对IEPE电路的要求。避免了电磁干扰等因素对冲击波压力测试系统的影响,实现了电路小型化,简化了测试系统。对实现IEPE压电式超压传感器有实际意义。