改进的混合蛙跳算法在雷达网部署中的应用

针对雷达组网优化部署的原则,建立了区域雷达组网优化部署的数学模型,提出了一种基于改进的蛙跳算法的雷达组网优化部署方法。在阐述了改进方法的基础上,与先前方法进行了对比分析。最后,通过计算机仿真试验进行了验证,结果表明:改进的混合蛙跳算法能够快速得到多种优化部署方案,且操作性强,能较好地应用于雷达组网优化。     

Planning for the next Takur Ghar

The USA is currently facing an increasingly diverse range of threats, including non-state actors, particularly violent extremist organizations attempting to do harm. The national leadership has made it clear that for the near future it will employ Special Operations Forces (SOF) as the tool of choice in short-duration, high-intensity operations that have more in common with the battle of Takur Ghar, than those with a larger footprint. It is critical then that the lessons of the past are learnt now and are applied before employing SOF in the future. This becomes especially important given the short lead-time in concert with the short-duration/high-intensity tempo of their operations. In the Battle of Takur Ghar, during Operation Anaconda, rigid adherence to the joint functions, especially clearer and more robust Command and Control (C2) and Intelligence, Surveillance, and Reconnaissance (ISR) in the planning and execution of Operation Anaconda would have yielded a better operational outcome and saved lives. With the benefit of hindsight, many things could have been done differently, but several key issues stand out. The C2 structure must include all components from the outset to synchronize effects and rapidly re-task ISR. There must be multiple communications redundancies and adequate bandwidth. Finally, all SOF, conventional and interagency capabilities must be synchronized under one task force commander with a sufficiently robust C2 infrastructure to direct the entire effort. As our nation calls on SOF at an ever-increasing rate, we must take those lessons learned and apply them to future operations.     

How and why Boko Haram blossomed: examining the fatal consequences of treating a purposive terrorist organisation as less so

Boko Haram (BH) is an insurgent group that operates mainly in northeastern Nigeria. Its stated aim is to establish an Islamic state, and it employs terrorism as its strategy. Earlier interests of security analysts centred on the drivers of BH uprising and the possibility of its internationalisation. Today's concerns relate more to why the rebellion has lasted this long. In toeing the same line, this article demonstrates that BH is a purposive terror group against which the government has evolved no viable strategy. It examines some gains of BH over the past six years and how it benefitted from the government's underestimation of its capacity and determination. It concludes that to effectively engage BH, the Nigerian government must revaluate its threat and sincerely pursue an expanded strategy beyond the current military-centric approach. To be effective, government's response must be packaged in such a way as to enhance human security in the region.     

喷气燃料中特征真菌Amorphotheca resinae的生物学性状研究

通过提供不同的碳源对喷气燃料中检测出的特征真菌Amorphotheca resinae(A.resinae)进行培养,观察菌落和孢子形态,研究其生物学性状;在液体培养基中对其进行振荡培养时出现了油包水现象,从而对特征真菌污染过的油、水相进行表面张力测定。研究结果表明:A.resinae在固体培养基中生长缓慢且出现角变现象;孢子直径仅约1μm;被特征真菌污染过的水相表面张力降低,推测培养A.resinae时可能产生了生物表面活性物质。     

科氏流量计信号相位差测量新算法

对科氏流量计信号进行处理时,传统相位差测量算法存在较大误差。为更好地抑制频谱泄露,提高相位差测量精度,在传统DTFT算法的基础上,通过矩形窗和汉宁窗卷积运算构造出一种新窗——RHC窗。计及负频率成分的影响,提出了一种基于RHC窗的DTFT相位差测量新算法。详细阐述了新算法的原理,并与传统DTFT算法进行了对比仿真,验证了新算法的有效性。     

多核数字信号处理器矩阵乘卷积算法性能评测

矩阵乘卷积算法能够为各种卷积配置提供高性能基础实现,是面向给定芯片进行卷积性能优化的首要选择。针对国防科技大学自主研制的飞腾异构多核数字信号处理器(digital signal processor, DSP)芯片的特征以及矩阵乘卷积算法自身的特点,提出了一种面向多核DSP架构的高性能并行矩阵乘卷积实现算法ftmEConv。该算法由输入特征图转换、卷积核转换、矩阵乘以及输出特征图转换这四个均运行在通用多核DSP上的并行化部分构成,通过有效挖掘通用DSP核中功能单元的潜力来提升各个部分的性能。实验结果表明,ftmEConv实现了高达42.90%的计算效率,与芯片上的其他矩阵乘卷积算法实现相比,获得了高达7.79倍的性能加速。     

装备预研管理数字化转型研究——数字孪生装备预研

数字经济时代,装备预研管理应积极面对数字化转型趋势,构建与数字经济发展相适应的管理体系。结合数字经济的变革属性,借鉴民口科技计划管理数字化实践经验做法,总结和分析当前装备预研管理数字化面临的主要问题及紧迫需求,提出未来装备预研管理发展的一种新范式——数字孪生装备预研,即利用数字孪生助力装备预研管理的数字化转型,并从组成、理想特征和能力、关键技术以及发展路径四个方面对数字孪生装备预研的概念内涵进行了深化阐述,以期对当前装备预研管理的创新起到参考和促进作用。     

块Toeplitz矩阵低复杂度求逆的卫星导航空时抗干扰算法

采样协方差矩阵求逆是空时抗干扰算法的基本运算单元,但由于其运算量随时域抽头个数急剧增长,直接限制了空时抗干扰技术在卫星导航接收机中的应用。针对该问题,提出了基于块Toeplitz矩阵快速求逆的空时抗干扰方法。通过采用新的协方差矩阵近似计算方法,使得该矩阵同时为块Toeplitz矩阵与Hermite矩阵,并运用块Toeplitz矩阵的快速求逆算法,将时域抽头个数为K的计算复杂度从O[K3]降至O[K2]。理论分析和仿真结果表明,在阵元数为4、时域抽头为15的典型情况下,相比现有矩阵求逆方法,该算法的抗干扰性能损耗小于1d B,但计算量可降低约2/3。     

“算法战争”的概念、特点与影响

分析了"算法战争"的概念,考察了美军围绕筹划"算法战争"所展开的相关举措,讨论了"算法战争"的潜在影响,并指出了其局限性所在。建议跟踪研判"算法战争"的未来演变趋势,依托军民融合加强算法储备,重视反制措施的研究和伦理探讨。     

基于改进粒子群算法的复杂地况下雷达布站优化

针对现有雷达布站数学模型不能解决复杂地况下的雷达布站问题,提出了一种复杂地况下的雷达布站数学模型,该模型解决了雷达在复杂地况下布站位置受限的问题。在此基础上,提出了基于改进粒子群算法的复杂地况下的雷达布站优化算法,该算法改善了现有粒子群算法中期搜索性能不强的缺陷。仿真结果验证了提出的改进雷达布站数学模型的可行性和基于改进粒子群算法的复杂地况下雷达布站优化方法的有效性。