基于伽利略卫星导航系统的多径误差仿真

着重讨论伽利略卫星导航系统中采用的线性偏移载波调制技术,对GALILEO中可能用到的几种信号的基本特性作具体分析,提出对于BOC信号,应采用余弦副载波调制方式,并在此基础上对GALILEO各种信号的多径误差、平均多径误差进行仿真验证.仿真结果表明,在参数相同的条件下,余弦副载波类型BOC信号的平均多径误差均优于同参数下的正弦副载波类型BOC信号的平均多径误差.     

GSVM:一种支持Gather/Scatter的向量存储器

宽单指令多数据流(Single Instruction Multiple Data, SIMD)架构数字信号处理器一般都能高效支持地址连续或等距跨步等规则应用的向量访存,但对于科学与工程计算中广泛存在的不规则应用的数据访存则带宽利用率往往较低,从而大幅降低了其整体运算能效。为了提高不规则应用的向量访存性能,基于某SIMD数字信号处理器的体系结构,设计了一种支持Gather/Scatter访存的向量存储器GSVM。通过设计与SIMD宽度相匹配的向量地址计算单元和合适深度的冲突缓冲器阵列,实现了Gather/Scatter指令向量地址计算、仲裁与缓存的全流水访存操作。实验结果表明,相比以前不支持Gather/Scatter访存的存储器,GSVM在增加22%的硬件代价基础上,基于稀疏矩阵向量乘的测试程序集获得了2～8的性能加速比。     

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.     

反舰导弹攻击方向的选择策略分析

具有航路规划能力的反舰导弹能通过选择合理的攻击方向对舰艇进行攻击,从而大大提高导弹的突防概率。针对单舰和不同编队形式的舰艇目标,选取了典型代表作为对象,分析了不同攻击方向对反舰导弹突防能力的影响,提出了选择合理攻击方向的依据,并进行了相关仿真计算。结论表明:针对单舰目标,可以两发导弹按90°夹角对目标实施两方向齐射;针对单式队形的舰艇编队,可将导弹的攻击方向选择为编队队列线方向;针对复式队形的舰艇编队,齐射导弹的攻击舷角应小于相邻两舰协同反导时导弹相对被攻击舰的最小舷角,从而尽量阻止敌方舰艇编队协同反导。     

船用电缆绝缘电阻自动检测精度的分析与研究

提出了一种实际的船用电缆绝缘电阻检测方案 ,包括信号变换电路和方案的硬件与软件结构 .分析了检测误差产生的主要原因 ,并提出了两种提高检测精度的措施     

考虑细观结构变化的原状Q3黄土变形和强度特性

为研究结构性对非饱和原状Q3黄土变形和强度特性的影响，做了12个非饱和原状Q3黄土的CT-三轴侧向卸荷试验。在试验剪切过程中，利用CT机对试样进行跟踪扫描，共得到168张CT图像。基于试验数据建立了细观结构参数，并利用该参数来反映非饱和原状Q3黄土的变形和强度特性，从而得到能反映细观结构性影响的非线性应力-应变关系以及摩尔-库伦强度公式。     

一种基于口径耦合的S波段小型圆极化微带天线的设计

圆极化微带天线以其低轮廓、可共型、易集成、隐蔽性好等优点,在军事应用上受到人们越来越多的重视。文章从实际应用的角度出发,设计了一种基于口径耦合的S波段单馈小型圆极化微带天线,该天线馈电简单,阻抗匹配实现容易,适于圆极化设计及小型化设计。     

虚拟现实系统的建模方法

采用先进的建模方法 ,开发组织和管理复杂的虚拟环境 ,不仅能够提高开发效率 ,甚至关系到项目开发的成败。研究了面向对象和面向智能体两种虚拟现实 (VR)系统设计的基本方法。     

采用双天线载波相位差技术的卫星导航接收机抗欺骗方法

针对欺骗干扰信号难以有效实时模拟真实卫星信号空间分布特性的特点,提出利用双天线载波相位差进行欺骗信号检测的方法。分析载波相位差计算的各种误差源,并在此基础上建立针对欺骗信号的二元假设检验。通过理论分析和仿真实验,验证了所提欺骗信号检测技术的有效性,并得出了天线阵基线越长、入射方位角越小,载波相位差检测技术对欺骗信号的检测性能越优的结论。