散斑直接检测技术

本文首次提出了用斑点列阵取代无规分布的散斑,以斑点定位对斑点作直接检测的原理和方法。实验结果表明,作为不同于散斑干涉计量和ESPI(Electronic Speckle Patterm Interferometry)技术的一种新方法,以斑点定位作直接检测是完全可行的。     

计及电离层倾斜的P—D变换及其短波通信MUF的预报方法

本文提出了计及电离层倾斜的高频返回散射电离图的最小时延换算为大圆距离的计算方法，并讨论利用返回散射电离图进行最高可用频率预报。在Ｄ＞１０００ｋｍ条件下，Ｐ－Ｄ变换的最大误差在３．５％以内，实时预报结果与ＣＣＩＲ提供的频率预报的月平均值相差±１．５ＭＨＺ．     

飞行器伺服回路的变结构设计

 根据变结构系统（VSS）理论对某飞行器伺服回路进行了变结构设计,给出了控制器设计的详尽步骤,设计方法几何意义直观,在IBM4341机上通过了数字仿真,给出了仿真框图;与原伺服回路的控制性能进行了比较。仿真表明,VSS比传统普通控制系统具有以下几个突出的优点:（1）快速、无超调、无稳态误差;（2）对系统参数交化具有鲁棒性;（3）对外界干扰具有鲁棒性。     

基于四阶累积量的来波信号频率和二维角估计

本文提出了一种基于四阶累积量的来波信号频率、方位角和仰角三维参数估计的算法。该算法采用无方向模糊的无效均匀圆阵（阵元数大于６）和阵元延时，实现高斯白或色噪声环境下非高期信源的参数估计，且三维参数可自动配对；在空间欠采样条件下，使用整数搜索法实现方位角和仰角无模糊估计。仿真实验表明了算法的有效性。     

基于DDS和FPGA技术的遥测自检信号发生器的设计

无人驾驶直升机遥测遥控设备的测试需要其他设备配合 ,目前存在程序复杂 ,而且不能保证测试的完备性和准确性这些问题。针对这些问题 ,文中设计采用 DDS技术和 FPGA器件实现的遥测自检信号源 ,能完全模拟某型无人驾驶直升机遥测设备中的输入信号 ,使遥测设备的测试简便易行。     

一种软件实现的程序控制流错误检测方法

在太空环境中，由于宇宙射线的存在，计算机系统的硬件经常发生各种瞬态或永久故障，致使软件系统的执行流程产生错误。针对太空环境的强辐射特点，提出了一种对程序的控制流进行检查的纯软件方法RSCFC，它首先把程序划分为“基本模块”，然后给每个基本模块赋予一“关系标记”和错误探测指令。通过对程序运行期间生成的“即时标记”和事先嵌入程序的模块位置信息的“与”运算来探测控制流错误。该方法在几个C语言标准程序上进行了实现，并进行了故障注入实验，结果表明在没有RSCFC时，大约20．7％～68．8％的分支故障会产生探测不到的不正确输出，而在RSCFC存在的情况下，该区间会降低到2．8％～20．4％。与其它的软件控制流错误检测方法相比较，它具有探测率高，对原始代码影响小的特点。     

固体火箭发动机水下应用时的燃速特性分析

火箭发动机内真实的推进剂燃速往往由于高温高压难以测量。为探讨燃速对于工况的依赖性．对水下应用的固体火箭发动机试验器的试验结果用最小二乘法进行了辨识。引用三种燃速公式进行辨识,得到了一种新型推进剂稳态燃速模型参数的最优辨识值。结果表明：指数式的辨识结果得到的残差最小,指数式是描述该新型推进剂燃速规律的合理格式。     

ACOUSTIC PROPAGATION IN SHEARED MEAN FLOW USING COMPUTATIONAL AEROACOUSTICS

Acoustic propagation problems in the sheared mean flow are numerically investigated using different acoustic propagation equations, including linearized Euler equations （LEE） and acoustic perturbation equations （APE）. The resulted acoustic pressure is compared for the cases of uniform mean flow and sheared mean flow using both APE and LEE. Numerical results show that interactions between acoustics and mean flow should be properly considered to better understand noise propagation problems, and the suitable option of the different acous- tic equations is indicated by the present comparisons. Moreover, the ability of APE to predict acoustic propagation is validated. APE can replace LEE when the 3-D flowqnduced noise problem is solved, thus computational cost can decrease.     

黏附激励下空间目标惯性参数的辨识方法

针对黏附卫星会自然激励目标改变运动状态的现象，提出一种利用黏附激励进行空间非合作目标惯性参数的辨识方法。黏附前，利用主星对目标特征点的视觉测量，建立估计目标惯性参数与相对运动参数的滤波器，并估计目标的转动惯量比和质心；黏附后，主星直接利用该滤波器估计目标的新的质心速度，并基于动量守恒原理计算目标质量。该方法不仅充分利用黏附过程的自然激励，无需常规辨识必须的主动激励，而且激励前后算法一致，无需切换。数字仿真证实了算法的有效性。     

Modeling and analysis of Earth’s gravity field measurement performance by inner-formation flying system

The Earth’s gravity field can be measured with high precision by constructing the purely gravitational orbit of the inner-satellite in Inner-formation Flying System (IFS), which is independently proposed by Chinese scholars and offers a new way to carry out gravity field measurement by satellite without accelerometers. In IFS, for the purpose of quickly evaluating the highest degree of recovered gravity field model and geoid error as well as analyzing the influence of system parameters on gravity field measurement, an analytical formula was established by spectral analysis method. The formula can reflect the analytical relationship between gravity field measurement performance and system parameters such as orbit altitude, the inner-satellite orbit determination error, the inner-satellite residual disturbances, data sampling interval and total measurement time. This analytical formula was then corrected by four factors introduced from numerical simulation of IFS gravity field measurement. By comparing computation results from corrected analytical formula and the actual gravity field measurement performance by CHAMP, the correctness and rationality of this analytical formula were verified. Based on this analytical formula, the influences of system parameters on IFS gravity field measurement were analyzed. It is known that gravity field measurement performance is a monotone decreasing function of orbit altitude, the inner-satellite orbit determination error, the inner-satellite residual disturbances, data sampling interval and the reciprocal of total measurement time. There is a match relationship between the inner-satellite orbit determination error and residual disturbances, in other words, the change rate of gravity field measurement performance with one of them is seriously restricted by their relative size. The analytical formula can be used to quantitatively evaluate gravity field measurement performance fast and design IFS parameters optimally. It is noted that the analytical formula and corresponding conclusions are applied to any gravity satellite which measures gravity field by satellite perturbation orbit.