层次分析法在反坦克导弹阵地选择中的应用

反坦克导弹是未来高技术战争中不可或缺的反装甲兵种,特别是在渡海登岛作战中,先头抢滩登陆部队能否巩固和扩大登陆场地,很大程度取决于登陆部队反装甲力量的运用.在此过程中,反坦克导弹分队的阵地选择极其重要,运用层次分析法建立反坦克导弹阵地选择的递阶层次模型,通过计算,确定反坦克导弹阵地选择的最佳方案通过组合一致性检验,选择地形单元C_1为反坦克导弹阵地,作为最终的决策依据.     

多业务接入平台及其在军事通信中的应用

文中介绍了军用通信网接入层的组建原则,通过比较目前几种不同的接入技术,说明了多业务接入平台(MSAP)的技术特点和优势,提出了以MSAP作为军用通信网接入层的解决方案,并给出了采用MSAP组网的网络示意图。最后采用CPU+ASIC+FPGA这种典型的通信系统硬件架构,分析了MSAP的软硬件联合实现。     

陆军合成营指挥模拟训练系统模型

对陆军合成营指挥模拟训练系统模型和部署结构进行研究和探讨,构建一个分布式合成营指挥训练平台。从系统的总体设计思路、系统功能设计、系统逻辑结构、系统物理结构及模块化设计思路上加以探讨并给出自己的方案。     

基于多态的大功率可控硅开关功率放大器的仿真研究

为了满足远距离海底探测对发射信号大功率的需求,选用了一种大功率可控硅开关功率放大器。在临界换流状态、自然换流状态和强迫换流状态三种工作状态下,分析了该功率放大器的工作原理,并建立了等效电路模型。运用OrCAD仿真了临界换流状态时的等效电路模型;在自然换流状态和强迫换流状态下,为获得功放电流值和负载电流值,对其等效电路模型分别建立了非线性数学模型,并通过MATLAB和VC 采用四阶Runge-Kutta法对非线性数学模型进行求解。以上方法能够求得该功率放大器电路在任意时刻、任意点处的电流电压值,能较客观、真实地反映电路的工作状况,对工程应用具有一定的参考价值。     

复合材料组合梁的分布参数传递函数法分析模型

应用分布参数传递函数法分析了复合材料组合梁在轴压载荷作用下的振动与稳定性问题。通过引入对偶变量，利用Ｌｅｇｒｅｎｄｒｅ 变换和Ｌａｐｌａｃｅ 变换，建立了可进入Ｈａｍ ｉｌｔｏｎ 体系的混合能量变分原理，并推导出了结构在复频域内的状态空间控制方程， 从而得到了任意边界条件下组合梁振动与稳定性问题的传递函数精确解。分析了一阶和高阶横向剪切变形、转动惯量、细长比、材料各向异性等多种因素对组合梁固有频率和屈曲载荷的影响。文中最后给出了数值算例， 验证了本方法的有效性和适应性。     

磁性部件（CBG装置）的改进方案研究

船用核动力装置中装配的ＣＢＧ装置是重要的热控装置,由于研制年代和国情的实际,该装置是以自饱和磁放大器为基本元器件,从而具有一定的局限性。为加强船用核动力装置运行安全,本文提出了新的改进方案,具有一定的实用价值。     

爆炸网路自动检测的新方法

本文提出一种测量电气爆炸网路的新方法——电阻比较法。运用该方法设计的测量系统,与现行测量仪器比较,具有量程宽,精度高的特点。与微机相适配,实现了自动检测。文中对测试系统软、硬件及误差进行了分析,并给出实验结果。     

加肋凹锥-环-柱结合壳结构参数分析

采用分区样条等参元法,分析了加肋凹锥 环 柱结合壳的应力和稳定性特点,研究了各项结构参数变化对结合壳应力和稳定性的影响,认为加肋凹锥 环 柱结合壳能有效降低锥柱结合部的纵向弯曲应力,但对于降低环向应力效果有限,建议在环壳段中部增加一档肋骨;半锥角的凹结合壳越大,嵌入环壳段的优势越明显;增大环壳与柱壳半径比可以有效降低环壳段中部的纵向弯曲应力.     

联合编队作战行动方案建模

研究联合编队的作战行动方案问题,首先需要建立合理的任务模型。在基本作战样式基础上,针对联合编队任务特点,设计了一种联合编队作战行动方案的建模方法。该模型包含对海攻击和对空防御等5种基本作战样式,结合规划和调度两方面的特点,提供了资源和系统状态的描述机制。实例证明建模方案不仅具有可行性,而且丰富了作战行动方案的建模理论,对联合编队作战系统的研究、决策和建设具有一定的参考价值。     

Signal‐to‐interference‐plus‐noise ratio estimation for wireless communication systems: Methods and analysis

The Signal‐to‐Interference‐plus‐Noise Ratio (SINR) is an important metric of wireless communication link quality. SINR estimates have several important applications. These include optimizing the transmit power level for a target quality of service, assisting with handoff decisions and dynamically adapting the data rate for wireless Internet applications. Accurate SINR estimation provides for both a more efficient system and a higher user‐perceived quality of service. In this paper, we develop new SINR estimators and compare their mean squared error (MSE) performance. We show that our new estimators dominate estimators that have previously appeared in the literature with respect to MSE. The sequence of transmitted bits in wireless communication systems consists of both pilot bits (which are known both to the transmitter and receiver) and user bits (which are known only by the transmitter). The SINR estimators we consider alternatively depend exclusively on pilot bits, exclusively on user bits, or simultaneously use both pilot and user bits. In addition, we consider estimators that utilize smoothing and feedback mechanisms. Smoothed estimators are motivated by the fact that the interference component of the SINR changes relatively slowly with time, typically with the addition or departure of a user to the system. Feedback estimators are motivated by the fact that receivers typically decode bits correctly with a very high probability, and therefore user bits can be thought of as quasipilot bits. For each estimator discussed, we derive an exact or approximate formula for its MSE. Satterthwaite approximations, noncentral F distributions (singly and doubly) and distribution theory of quadratic forms are the key statistical tools used in developing the MSE formulas. In the case of approximate MSE formulas, we validate their accuracy using simulation techniques. The approximate MSE formulas, of interest in their own right for comparing the quality of the estimators, are also used for optimally combining estimators. In particular, we derive optimal weights for linearly combining an estimator based on pilot bits with an estimator based on user bits. The optimal weights depend on the MSE of the two estimators being combined, and thus the accurate approximate MSE formulas can conveniently be used. The optimal weights also depend on the unknown SINR, and therefore need to be estimated in order to construct a useable combined estimator. The impact on the MSE of the combined estimator due to estimating the weights is examined. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004