小波去除噪音算法研究

介绍了小波变换滤除噪音的机理和与傅立叶变换相比的优越性，其中包括确定性噪音和随机噪音。讨论了增强去噪效果的几种改进方案并提出一种试验估计去噪方法，对工程应用有一定的实用价值。     

基于DCT-CS的脉冲星周期超快速估计方法

受快速傅里叶变换（fast Fourier transform，FFT）的影响，基于FFT和压缩感知（compressive sensing, CS）的脉冲星周期快速估计算法的计算量大。为进一步减小计算量并提高计算精度，利用离散余弦变换（discrete cosine transform，DCT)取代FFT，提出了一种基于DCT-CS的脉冲星周期超快速估计算法。在该方法中，利用DCT提取脉冲星信号的低频部分构建低频DCT矩阵；构建畸变轮廓字典并获取累积轮廓；提出了利用最大值超分辨率稀疏恢复估计脉冲星周期的方法。仿真结果表明，DCT-CS的脉冲星周期估计精度达到了3.82×10-12 s，计算时间达到了9.31 ms。与FFT-CS相比，周期估计精度提高了约16%，计算时间缩短了约37.5%，实现了实时高精度的脉冲星周期估计。     

空间谱估计经典算法性能比较

空间谱估计是阵列信号处理的一个重要研究方向。空间谱估计理论与技术已日趋成熟，近几十年的经典谱估计技术包括：常规波束形成（CBF）、Capon谱估计、多重信号分类（MUSIC）、旋转不变子空间算法（ESPRIT）、最大似然（ML）、子空间拟合（SF），及这些算法的扩展和变形。上述算法在各个分散的文章中均有具体深入的理论分析和研究，亦有类似的2种或3种算法的性能比较，但是针对这些所有算法的性能比较，就笔者所知尚无公开报道，而使工程实现时对算法的选择没有依据。本文对这些经典算法做了简介，列出各个算法的优缺点，并对性能进行仿真比较，能直观地得到各个算法的性能对比，给工程实现算法选择提供理论依据。     

A systematic approach to nonlinear rotorcraft model identification

The development of a powerful parameter estimation routine and its integration into the simulation environment HOST is described. With this tool approaches are being made towards new strategies of mathematical modeling, aimed at providing highly accurate and nevertheless run-time efficient simulation models. The identification routine is capable of optimizing parameterized models in both dynamic time domain simulation and static (e.g. trim state variation) conditions. Examples of both cases are presented to emphasize the improvement in the system response prediction and to demonstrate the abilities of the identification techniques in combination with the nonlinear simulation platform. This article reviews the activities and achievements accomplished by the DLR Institute of Flight Research and the ONERA Systems Control and Flight Dynamics Department during the last few years in the research on rotorcraft flight dynamics modeling and model identification. Future activities that require extensive high fidelity modeling are in the scope of the current and coming modeling activities that include the use of the presented methods and software technologies.     

3-D position estimation of isolated target and optimal trajectory choice in parasitic synthetic aperture radar

Bistatic SAR (BSAR) systems have recently been the subject of several studies, but little attention has been given to the potential of the location of targets. In the paper, the performance of the estimation of 3-D position of a target (TPE) in parasitic SAR is obtained analytically and illustrated by computer simulation using ambiguity function analysis, and the maximum likelihood estimate (MLE) approach. It was shown that by using a multi look parasitic BSAR all three coordinates of an isolated point target (IPT) could be evaluated. Analytical closed form equations that characterize the measurement accuracy were derived. In the final these equations will be used to demonstrate various cases of more practical, including optimal trajectories choice under any geometry configuration case, moreover, the conclusion is verified via Matlab.     

多轴加工刀轨最优行距计算方法研究

以五轴加工为例,对多轴加工行距提出了一套刀轨最优行距计算方法。该方法通过推导五轴加工刀具运动刃口回转面包络方程,计算相邻轨迹刀具包络面的交线,即残余凸台的顶尖线,进一步计算该线到加工曲面的距离,从而得到最大残余高度值,由此判断当前行距的优劣,据此进行进一步的搜索,最终得到最优的行距。     

美国低空风切变危险性评估的研究概况

对美国在低空风切变的危险性评估及其准则、风切变模型及地面系统仿真等方面的研究概况作一介绍,最后找出我国在这方面研究的差距,并提出努力的方向。     

基于偏最小二乘回归分析的装备研制费用估算方法及应用

介绍了寿命周期费用的概念以及各阶段分布情况;针对经典回归分析的不足,采用偏最小二乘回归分析对某装备样本数据进行分析建模;建立了研制费用与几个相关指标的回归方程,并将估算结果与经典的回归分析进行对比,验证模型的合理性。该模型能较好地反映了费用与各指标之间的关系,对后续寿命周期费用的分析与控制有一定的意义。     

静止单站纯方位目标航向估计及仿真研究

针对平面直角导航坐标系下匀速直航目标, 利用静止单站测得目标方位序 列, 基于纯方位目标运动分析(BO-TMA)理论, 采用拟线性处理方法, 对目标航向进行 递推式估计。通过多次仿真实验,研究了不同初始条件对目标航向估计性能的影响。该 方法要求简单,便于实现,所得结论为水下隐蔽单站仅利用目标方位信息快速判断敌方 运动态势及作战决策提供了参考。     

Distributed state estimation for heterogeneous mobile sensor networks with stochastic observation loss

The problem of distributed fusion and random observation loss for mobile sensor networks is investigated herein. In view of the fact that the measured values, sampling frequency and noise of various sensors are different, the observation model of a heterogeneous network is constructed. A binary random variable is introduced to describe the drop of observation component and the topology switching problem caused by complete observation loss is also considered. A cubature information filtering algo...