关于非扩展映象的有限族的一个强收敛性定理

讨论了一个非扩展映象的有限族所定义的迭代格式,证明了Banach空间中的一个非扩展映象的有限族的强收敛性定理。     

非奇异快速终端滑模及动态面控制的轨迹跟踪制导律

针对飞行器跟踪预设轨迹的问题,提出非奇异快速终端滑模和角度约束的轨迹跟踪制导律。通过引入虚拟目标点,提出参考轨迹曲率半径的期望视线角约束条件,建立带有视线角约束并考虑自动驾驶仪动态特性的轨迹跟踪数学模型。为了保证在有限时间内跟踪预设轨迹并避免出现奇异问题,采用快速非奇异终端滑模和动态面控制方法进行制导律设计。推导出视线角误差和轨迹跟踪误差之间的数学关系,并利用Lyapunov稳定性准则证明轨迹跟踪误差最终有界任意小。与弹道成型轨迹跟踪制导律进行仿真对比,仿真结果表明所提出的制导律具有良好的跟踪性能及鲁棒性。     

认知MIMO雷达波形设计研究

认知多输入多输出(multiple-input multiple-output,MIMO)雷达将认知技术与MIMO技术相结合,具备动态环境信息感知和自适应调节能力,受到雷达界的广泛关注。相比于传统雷达,认知MIMO雷达性能更优、适应性更强,是雷达迈向智能化发展的趋势,而发射波形的优化设计是实现雷达认知的关键,因而成为近年来学者研究的重点。首先介绍了认知MIMO雷达基本概念,分析了波形设计现状,然后在波形设计步骤的基础上,重点从优化准则和优化方法两方面总结了现有研究成果及特点,最后讨论了未来研究方向和需要解决的问题。     

Zr基块体非晶合金屈服行为及屈服准则研究

为了明确块体非晶合金屈服行为与屈服准则的关系,对非晶合金屈服强度间相互关系以及试验中拉伸和压缩断裂面与最大剪应力作用的45°倾斜面的偏离角度进行分析,应用滑移线间断场理论和Mises屈服条件计算出拉伸颈缩断裂面与载荷轴夹角和块体非晶合金实验结果的一致性,利用Coulomb屈服条件计算出的单轴压缩断裂面倾斜角与实验结果相吻合,确定块体非晶合金在不同应力状态下遵循不同的屈服准则:在拉伸条件下该块体非晶合金遵循Mises屈服准则;在压缩条件下遵循Coulomb屈服准则。     

基于极球面投影的极区格网坐标表示方法?

随着全球气候变暖，北极冰盖的快速消融使北极航道的夏季全线通航成为可能，但由于极区经线的快速收敛，导致基于地理坐标的传统航海导航方法误差过大而不能使用。针对这一问题引发的极区导航问题进行研究，首先对常用海图及传统航海导航方法在极区使用存在的问题进行分析，然后采用极球面投影下的极区格网坐标表示方法，给出了极球面投影格网坐标与地理坐标的转换关系，该方法能够使在极区航行的船舶便捷、准确地确定其在地球的位置，为极区航海作业提供方便。     

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.     

EU armed forces and social media: convergence or divergence?

This article explores how armed forces in EU member states work with and view social media in national and international settings, and what the patterns of convergence/divergence are on these issues. To that end, a questionnaire targeted at EU armed forces was constructed. An index of qualitative variation was calculated to explore the relative convergence among respondents (n = 25) on issues of risks and opportunities with using social media nationally and internationally. Consistent with previous research on European armed forces, we found higher levels of divergence than convergence. Contrary to our expectations that similar challenges, joint international standards, and membership in international organizations would foster convergence with regard to social media use in areas of deployment, we found that convergence appeared foremost pertaining to the domestic level. Policy divergence was strongest in areas of deployment.     

新条件下Fourier级数L~p可积性的研究

小样本多元数据分析和数据压缩、编码等是装备维修与故障分析中的常用技术,这些技术的理论研究常常归结到用函数的Fourier系数刻画可积函数类问题。研究了正弦级数和余弦级数属于Lp函数类的条件,建立了在NBVS假设条件下的判别准则,推广了已有结果。