Parametric synthesis of pulsar time

A new method of generating pulsar time based on a coherent representation of a sequence of observed events is considered. The properties of pulsar time compared with the traditional approach are analyzed. __________ Translated from Izmeritel’naya Tekhnika, No. 6, pp. 39–44, June, 2006.     

基于CAM的雷达信号实时预分选硬件实现

CAM(内容可寻址存储器)是一种快速匹配存储器件,在通信、雷达等许多领域有着广泛的应用。在介绍CAM基本原理的基础上,例举了一种基于CAM实现关联比较器的设计方法,通过仿真验证了设计的正确性,基本上实现了雷达信号的纯硬件快速预分选,达到了实时性和可靠性要求。     

非相关累积情况下的分布式探测系统性能分析方法研究

对非相关累积情况下，由单元平均恒虚警处理器(CA—CFAR)和次序统计恒虚警处理器(OS—CFAR)构成的分布式探测系统的性能分析方法进行了研究，在Neyman-Pearson准则下，得到了满足全局虚警概率要求的各个分布探测器的最优探测门限因子，从而得到分布式探测系统的探测概率。基于算例，还对分布式探测系统的组成单元遭受攻击或自然故障情况下，分布式探测系统的性能变化进行了研究。     

DOA估计中的高阶累积量应用方法

高阶累积量由于对高斯噪声不敏感，在高分辨阵列信号处理中可用来提高参数估计的分辨性能。本文从一个统一的角度来研究基于高阶累积量的高分辨阵列信号处理方法，并就一种方法在阵列信号处理中的应用通过计算机仿真与基于二阶矩的方法进行了较全面的比较。     

一种新的相干信源DOA估计算法: 加权空间平滑协方差矩阵的Toeplitz矩阵拟合

文献[1]提出的最优加权空间平滑技术可以使相干源存在时的信源协方差矩阵恢复为对角阵.由于文献[1]中导出的最优权矩阵是空间信源方位的函数矩阵,本文利用最优加权空间平滑后阵列协方差矩阵的Toeplitz性,构造了一个全新的优化拟合的代价函数,并基于此提出了一种相干源方位估计的新算法.与文献[1]不同,算法的实现不需要方位估计的先验知识和协方差矩阵的去噪预处理.分辨性能的蒙特卡罗仿真实验表明,新算法对空间相干信源的分辨性能优于常规的空间平滑算法和最大似然算法,在小阵列和信源空间间隔较近时,算法的优越性尤为突出.     

基于PMU实测摇摆曲线的暂态稳定量化分析

提出了用扩展等面积准则(EEAC)评估相量测量装置(PMU)实测摇摆曲线的稳定裕度的方法。EEAC已被广泛用于分析电力系统的稳定域和优化稳定控制的决策。当受扰轨迹来自仿真时，所用的模型、参数和扰动场景很可能与实际不符。PMU给出的受扰轨迹克服了这个缺点，若能使主导映象的识识及稳定裕度的计算也不依赖于数学模型和参数，就可以真实反映实际系统的暂态稳定裕度。虽然PMU量测不能反映假想的场景，不支持对控制量的决策，但评估实际轨迹的稳定裕度仍有很大意义。仿真表明，所提出的算法在系统模型和参数未知的情况下，可以快速而精确地评估PMU实测摇摆曲线的稳定裕度。     

A Method of Taking into Account the Effect of Fluctuation Modulation of the Reflected Signal on the Accuracy of a Single-Pulse Direction Finder

A method of taking into account the fluctuation modulation of the reflected signal is proposed. This modulation leads to power losses in the functional processing of the signal in the channel of a single-pulsed direction finder. An algorithm of the functioning of a single-pulse direction finder with long-term coherent storage which eliminates these power losses is developed.     

Disorder strengthening of ordered L12 alloys by face centered cubic (A1) precipitates

We present a new theory of strengthening (disorder strengthening) of a crystallographically ordered L1₂ matrix by spherical, coherent crystallographically disordered fcc (A1) precipitates. There are two versions of the theory, each involving different approximations for the length of the chord, inside the precipitate, subtended by the trailing dislocation in the super-dislocation pair. Each of these versions incorporates two other assumptions involving the statistics of dislocation-precipitate interactions, which determine the average spacing of the precipitates along the super-dislocation. All versions of the theory predict a peak-strength condition at small particle sizes, followed by an extended period of overaging in which the strength decreases slowly with increasing particle size. We compare the quantitative predictions of the theory with both computer-simulated and experimentally generated data on inverse Ni-base γ′-type superalloy matrices strengthened by γ precipitates. In all cases at least one version of the theory is in excellent agreement with the data. The predicted strengthening is significant, the order of 85–110 MPa in the computer simulated results and 40–80 MPa in model precipitation strengthened inverse superalloys containing small volume fractions (≤0.04) of γ precipitates. The results are discussed in light of the statistics of dislocation-precipitate interactions and the resistance of individual γ particles to shearing by the super-dislocation pair; this resistance depends on the ratio of maximum force required to break free of the precipitate and the line tension of the dislocation pair.     

复杂电磁环境下微弱目标探测技术研究

利用广播、电视以及卫星等信号为照射源的无源雷达,在复杂电磁环境下的干扰信号严重影响了远距离微弱目标的探测,为此提出了空时二维反干扰处理和二维长时相干积累技术。重点分析最大信干噪比（MSINR）准则的空域自适应零点形成技术和基于遗忘因子的改进型递推最小二乘（RLS）时域自适应处理算法,解决了微弱目标长时积累的可实现问题。最后在实验系统中进行了实际数据的仿真和验证,提高了微弱目标的检测概率,同时大目标的信杂比也提高了5 dB 以上,在实际工程中得到了很好的应用。     

基于矢量奇异值分解的DOA估计方法及其改进

对相干信号的波达方向（DOA）估计是空间超分辨谱估计的热点。在均匀线性阵列模型下,特征矢量奇异值分解法（ESVD）能够很好的对相干信号进行DOA估计,但是当相干信号和非相关信号同时存在时,ESVD并不能对全部信号进行DOA的估计。本文通过对ESVD算法的理论分析后,选取经过加权处理的特征向量来构造新矩阵,再利用奇异值分解得到信号的噪声和信号子空间,从而进行DOA估计。理论分析和计算机仿真表明该改进算法(MESVD)解决了ESVD算法在相干信号和不相关信号同时存在不能正确进行DOA估计的问题,估计精度与空间平滑算法（FBSS）相当。