一种新的复合导引头多源异步信息融合精确拦截算法

针对单一制导体制难以满足现代战场作战需求,而多传感器数据更新率不同步的问题,建立一种新的微惯导/毫米波/红外复合制导体制,研究了该体制下多传感器异步信息融合的时间同步和空间配准问题;提出一种自适应Unscented卡尔曼滤波算法,该算法采用预测残差构造状态模型误差统计量,通过自适应因子调整状态模型信息对状态参数估值的贡献,有效控制状态模型噪声异常对状态参数估值的影响。将提出的算法应用到微惯导/毫米波/红外复合制导系统中进行仿真验证,结果表明,提出的自适应Unscented卡尔曼滤波算法的解算精度高于标准扩展卡尔曼滤波和Unscented卡尔曼滤波算法,能有效提高导弹的制导的解算精度。     

回转对称非球面光学零件磁流变成形抛光的驻留时间算法

介绍了一种基于代数算法的回转对称非球面计算机控制表面成形的驻留时间算法。该算法将驻留时间转化为工件自转的整数圈数,并且将抛光模对工件的材料去除效率体现到材料去除矩阵上进行计算。利用非负最小二乘法求解驻留时间向量。最后,利用该算法在自研的磁流变抛光实验装置上对一回转对称光学零件进行3次迭代加工,使其面形精度从8μm提高到0.5μm以内。     

基于FPGA的可变速率PSK数字解调器实现

针对QPSK变速率调制数字系统,提出了一种新的基于现场可编程门阵列(FPGA)实现方法,该系统可以支持4.88 Kb/s到2 Mb/s和更高的连续比特速率。设计采用混合乘法器、数控振荡器(NCO)和积分-梳状滤波器(CIC),并给出了系统中载波和信号恢复电路的设计结构,且可以移植到任何FPGA器件。提出的设计在Xilinx Virtex-5 FPGA平台进行了硬件测试。硬件实现结果显示,采用本方法实现的解调器,表现出优越的使用效率。     

Socioeconomic impact of conflict: state of emergency ruling in Turkey

Uprising tensions during 2010 in eastern and southeastern regions of Turkey provoked arguments about the necessity for a State of Emergency (SOE; ‘Ola?anüstü Hal’ in Turkish) declaration in those regions, with a belief of enduring political sustainability. The discussion is inflamed by a speech of the Nationalist Movement Party’s leader about the suggestion to announce a SOE ruling after the death of 24 Turkish soldiers in Hakkari (a city in the southeast of Turkey) in an attack of the PKK (Kurdistan Workers’ Party) on the 19 October 2011. Although a new announcement of SOE did not take place, the discussion itself induced the idea behind this paper which is to provide a quantitative analysis of the SOE in Turkey. In fact, the SOE ruling is not a new concept for Turkey and it has been implemented in 13 cities in the eastern and southeastern regions from 1987 to 2002. Although there have been many discussions about the costs of these 15 years of the SOE ruling in terms of military expenditure and, thus, on the national budget, there is a lack of quantitative analytical examination of the economic and social costs of it. Difference-in-differences analysis reveals negative spillover impacts of the SOE, especially on the forced migration, unemployment, and educational investments. The results also show that SOE ruling is an important factor for the underdevelopment of the eastern and southeastern regions in Turkey and, thus, a new SOE will bring enormous inequalities, both economically and socially, and an intensification of the ethnic tensions in Turkey.     

一种改进的雷达探测概率计算方法

基于对指挥自动化系统日常积累的雷达情报数据进行处理,提出了一种改进的雷达探测概率计算方法。综合考虑了目标在飞行过程中,RCS随着其与雷达相对位置的变化而变化的因素,对各个高度层上的航迹按距离取样间隔分段,统计各分段内的观测点数和发现点数,从而计算各距离取样间隔内的发现概率,再根据目标相对雷达的俯仰角和方位角对距离取样间隔中心点的探测距离进行修正。     

Optimizing fishbone aisles for dual‐command operations in a warehouse

Unit‐load warehouses store and retrieve unit‐loads, typically pallets. When storage and retrieval operations are not coordinated, travel is from a pickup and deposit (P&D) point to a pallet location and back again. In some facilities, workers interleave storage and retrieval operations to form a dual‐command cycle. Two new aisle designs proposed by Gue and Meller (“Improving the unit‐load warehouse.” In Progress in Material Handling Research: 2006. Material Handling Industry of America, Charlotte, NC, 2006) use diagonal aisles to reduce the travel distance to a single pallet location by approximately 10 and 20[percnt] for the two designs, respectively. We develop analytical expressions for travel between pallet locations for one of these—the fishbone design. We then compare fishbone warehouses that have been optimized for dual‐command to traditional warehouses that have been optimized in the same manner, and show that an optimal fishbone design reduces dual‐command travel by 10–15%. © 2009 Wiley Periodicals, Inc. Naval Research Logistics 54: 389–403, 2009     

谈数学美

美的本质、审美及美的创造是美学的要素,美学在众多学科交叉互融中极具活力,于是数学美就应运而生,其与美学相辅相成。本文对数学美的本质、特征作了探析。     

拦截TBM发射区的确定方法初探

在讨论拦截TBM杀伤区的基础上 ,应用TBM的运动方程 ,给出了确定低层反导防御系统拦截TBM时发射区的方法 ,对研究反导防御作战理论有一定的参考作用 ,同时 ,为指挥员选择最佳发射时机和发射方式提供了重要的理论依据。     

基于FMECA的某型雷达系统故障分析

故障模式、影响及危害性分析 (简称FMECA)是提高系统可靠性的一种有效的工具。在雷达系统故障分析中运用FMECA方法 ,通过计算机辅助程序实现了故障分析的预测分析和定量分析。与传统的故障分析方法相比 ,该方法能够避免分析中的盲目性和主观性 ,可以获得更为准确的分析结果     

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter

Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing. Owing to the complexity of marine environment and the particularity of underwater acoustic channel, noise reduction of underwater acoustic signals has always been a difficult challenge in the field of underwater acoustic signal processing. In order to solve the dilemma, we proposed a novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), minimum mean square variance criterion (MMSVC) and least mean square adaptive filter (LMSAF). This noise reduction technique, named CEEMDAN-MMSVC-LMSAF, has three main advantages: (i) as an improved algorithm of empirical mode decomposition (EMD) and ensemble EMD (EEMD), CEEMDAN can better suppress mode mixing, and can avoid selecting the number of decomposition in variational mode decomposition (VMD); (ii) MMSVC can identify noisy intrinsic mode function (IMF), and can avoid selecting thresholds of different permutation entropies; (iii) for noise reduction of noisy IMFs, LMSAF overcomes the selection of decomposition number and basis function for wavelet noise reduction. Firstly, CEEMDAN decomposes the original signal into IMFs, which can be divided into noisy IMFs and real IMFs. Then, MMSVC and LMSAF are used to detect identify noisy IMFs and remove noise components from noisy IMFs. Finally, both denoised noisy IMFs and real IMFs are reconstructed and the final denoised signal is obtained. Compared with other noise reduction techniques, the validity of CEEMDAN-MMSVC-LMSAF can be proved by the analysis of simulation signals and real underwater acoustic signals, which has the better noise reduction effect and has practical application value. CEEMDAN-MMSVC-LMSAF also provides a reliable basis for the detection, feature extraction, classification and recognition of underwater acoustic signals.