CMOS负阻补偿型压控振荡器关键技术研究

采用TSMC 0.18μm CMOS工艺,设计了一个中心振荡频率为2.46GHz的负阻补偿型LC压控振荡器。该压控振荡器采取差分负阻结构,利用反型NMOS电容实现频率调谐。通过对可调电容的特性研究,振荡器实现2.08GHz~2.84GHz的宽频率覆盖范围调谐,同时通过调节负阻器件的宽长比、优化片上螺旋电感几何参数获得高品质因数等方法提高振荡器的相位噪声性能。在1.8V供电电压下对电路仿真,相位噪声小于-120dBc/Hz@1 MHz,最低可达-125dBc/Hz@1 MHz,工作平均电流为3.74mA。在1.6V供电电压时工作正常,满足单芯片跳频频率综合器的应用要求。     

一种基于NASTRAN无限元技术的导管声学计算方法

为了更好地研究水下导管声学问题,提出了一种基于NASTRAN无限元技术的导管声学计算方法。该方法可用于任意多连通域问题的声场预报,适应任意复杂的导管截面和形状,并能考虑导管壁的弹性振动。对该方法进行了数值验证,并研究了无限元计算参数的设置,结果表明:径向插值阶数对计算结果的影响很大,而无限元边界位置和形状对结果的影响较小。采用该方法研究了管壁振动对空气中和水下导管声场的影响,结果表明:空气中导管可以不考虑管壁的流固耦合振动,而水下必须考虑。     

基于动态模板匹配的非接触超声弹体厚度测量方法

为了实现某弹体在车削加工过程中弹体厚度的自动测量,采用喷水式的非接触超声检测方法,利用弹体和刀架的匀速旋转和移动,在工控机的控制下实现弹体的全面检测。通过动态模板匹配的超声回波处理方法计算出弹体各检测位置的厚度值。检测结果表明,该检测方法的检测精度可达到0.1 mm。     

改进蚁群算法在DSR路由协议中的应用

针对移动Ad hoc网络节点移动频繁和单路径DSR路由协议不能均衡负载、网络健壮性低以及蚁群算法存在局部查询最优的问题,提出一种改进的蚁群算法,并把改进的蚁群算法应用到单路径路由协议DSR,设计出基于蚁群算法的多路径路由协议IDSR,通过仿真实验,从影响Ad hoc网络路由协议性能优劣的3个主要指标来比较IDSR、DSR路由协议和SMR路由协议的性能,实验结果表明,虽然改进协议IDSR路由开销比DSR、SMR稍有增加,但分组的投递率和平均端到端延时性能都有明显提高。     

基于BP人工神经网络的GPS/SINS组合导航算法

基于扩展Kalman滤波的GPS/SINS组合导航算法,需要对原始的非线性连续系统模型进行线性化和离散化处理,要求系统噪声和测量噪声为零均值的高斯白噪声,且易于出现滤波器发散。BP人工神经网络无需对所求解的问题建模,能够很好地逼近系统非线性特性,获得较高精度的导航定位信息;还具有计算过程稳定,不涉及矩阵求逆,不需要迭代逼近,以及容易实现并行处理等优点。设计适用于GPS/SINS组合导航系统的BP网络模型,并在标准的BP算法基础上,采用共轭梯度法改进网络训练速度及精度。最后,通过仿真算例说明BP网络方法用于GPS/SINS组合导航计算的可行性。     

烟幕--信息战的"坚盾"

针对信息成为重要战争资源及信息对抗贯穿始终的特点,介绍了烟幕干扰激光、红外、雷达、卫星以及复合干扰、扰乱心理等作用,阐述了点目标防护、野战防空和攻势迷盲等战术应用,展望了烟幕技术的发展趋势.     

攻击机动目标的非线性H∞制导律研究

应用非线性H∞控制理论,在建立导弹与目标相对运动数学模型的基础上,研究了一种拦截机动目标的鲁棒H∞制导律.这种鲁棒H∞制导律将目标的机动加速度视为有界的外界扰动输入,导弹的加速度视为控制输入,实现了导弹制导的鲁棒性.仿真表明,这种鲁棒H∞制导律具有很好的鲁棒性和良好的拦截效果,能够有效地拦截机动目标.     

基于ANSYS的预应力CFRP布加固混凝土梁有限元分析

采用ANSYS有限元分析软件,对卸载或不卸载时预应力碳纤维(CFRP)布加固梁进行仿真分析,并在有限元分析中提出了施加预应力的方法(升温法),以及利用单元的生与死实现不卸载时加固的方法。通过实例对比分析表明,基于ANSYS的有限元分析结果与试验分析结果吻合较好,可在一定程度上有效替代试验分析方法,从而减少试验所需的时间和费用,对后续的CFRP布加固混凝土结构的研究工作具有一定的参考价值。     

Newsvendor problems with sequentially revealed demand information

This article analyzes a capacity/inventory planning problem with a one‐time uncertain demand. There is a long procurement leadtime, but as some partial demand information is revealed, the firm is allowed to cancel some of the original capacity reservation at a certain fee or sell off some inventory at a lower price. The problem can be viewed as a generalization of the classic newsvendor problem and can be found in many applications. One key observation of the analysis is that the dynamic programming formulation of the problem is closely related to a recursion that arises in the study of a far more complex system, a series inventory system with stochastic demand over an infinite horizon. Using this equivalence, we characterize the optimal policy and assess the value of the additional demand information. We also extend the analysis to a richer model of information. Here, demand is driven by an underlying Markov process, representing economic conditions, weather, market competition, and other environmental factors. Interestingly, under this more general model, the connection to the series inventory system is different. © 2012 Wiley Periodicals, Inc. Naval Research Logistics 2012     

A standardized scan statistic for detecting spatial clusters with estimated parameters

The scan statistic based on likelihood ratios (LRs) have been widely discussed for detecting spatial clusters. When developing the scan statistic, it uses the maximum likelihood estimates of the incidence rates inside and outside candidate clusters to substitute the true values in the LR statistic. However, the parameter estimation has a significant impact on the sensitivity of the scan statistic, which favors the detection of clusters in areas with large population sizes. By presenting the effects of parameter estimation on Kulldorff's scan statistic, we suggest a standardized scan statistic for spatial cluster detection. Compared to the traditional scan statistic, the standardized scan statistic can account for the varying mean and variance of the LR statistic due to inhomogeneous background population sizes. Extensive simulations have been performed to compare the power of the two cluster detection methods with known or/and estimated parameters. The simulation results show that the standardization can help alleviate the effects of parameter estimation and improve the detection of localized clusters. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012