RAM技术在隐身飞行器薄型翼设计中的应用

雷达吸波材料（ＲＡＭ） 技术是隐身技术中的重要技术之一，并且在隐身武器，尤其是隐身飞行器系统设计中得到广泛应用。本文首先简要阐述了雷达吸波材料吸波的基本原理，然后以隐身导弹薄型弹翼的低雷达散射截面（ＲＣＳ） 设计为例，探讨了涂覆型雷达吸波材料涂覆方案的设计思想和方法，最后给出一部分隐身飞行器薄型翼面低ＲＣＳ设计的样例。     

星载合成孔径雷达的ScanSAR技术

星载扫描波束合成孔径雷达技术可以扩展星载合成孔径雷达一次通过观测地区时的观测带宽度。对ＳｃａｎＳＡＲ成像的天线波束位置数目，扫描角度范围和方位分辨率等性能进行了分析，阐述了ＳｃａｎＳＡＲ的某些设计考虑，并介绍了若干个应用实例。     

合成孔径雷达系统通道带宽优化设计方法研究

针对合成孔径雷达(SAR)图像质量指标与系统通道带宽的关系,对通道带宽进行优化设计。以Butterworth带通滤波器为例模拟SAR系统通道特性,利用驻定相位原理推导了滤波器引入的相位误差的表达式。引入通道带宽系数的概念,对相位误差进行勒让德正交展开,得到相位误差均方差与带宽系数和时间带宽积之间的定量关系式,进而确定带宽系数与图像质量指标之间的定量关系。在此基础上,提出SAR系统通道带宽优化设计方法,给出了带宽系数的下限,为SAR系统工程带宽设计提供了理论基础。     

星载合成孔径雷达的辐射校准

星载合成孔径雷达（ＳＡＲ）的辐射校准用于从ＳＡＲ图像演绎出雷达后向散射系数σ°。着重从端到端系统的角度阐述辐射校准原理；详细介绍内部校准和外部校准过程，并给出若干实例；还对校准误差源进行了较深入的讨论。     

对合成孔径雷达的移频干扰研究

从分析脉冲压缩信号时延和频移的耦合特性出发，推导了移频干扰对采用脉冲压缩信号体制的合成孔径雷达（SAR）的干扰输出形式，研究表明移频干扰的移频量与合成孔径雷达方位向处理的多普勒带宽无关，但只能形成点目标或线目标干扰。为此，提出了两种改进的移频干扰新样式——随机移频干扰和步进移频干扰。改进的移频干扰样式能够形成一个干扰区域，克服了固定移频干扰不能掩护分布目标的不足。理论分析和仿真表明，改进的移频干扰样式可掩护分布目标，由于可获得一维和二维信号处理增益，干扰效果优于噪声干扰。     

一种检测ＳＡＲ图像边缘的方法

传统算法不能很好地解决合成孔径雷达（ＳＡＲ）图像边缘检测问题，为此提出了一种改进方法：将Ｈaralick曲面拟合法和改进的广义模糊算子（ＧＦＯ）两种算法相结合，分别独立求出ＳＡＲ图像边缘，然后将分别求出的图像边缘合并，得出最终边缘，用实际ＳＡＲ图像对该算法进行检验，验证了该算法的有效性。     

红外热波成像法测量薄板局部换热系数

通过连续激光调制对薄板试样进行局部周期加热，采用红外扫描测温技术记录动态温度分布。利用博里叶变换分析温度基波相位和幅值变化，进而推算壁面的局部换热系数。介绍了该方法的测量原理，在风洞中对两种不同厚度的薄板进行了实验研究，并对实验结果进行了分析和讨论。     

相控阵雷达扫描波位和扫描时间的设计与优化

详细讨论了在相控阵雷达设计中扫描波位如何确定的问题。扫描波位的确定原则是使雷达系统既满足一定的检测概率和作用距离，又能在最短的时间内扫描整个空域。这就必须在波位驻留时间和平均增益损失等因素之间进行折衷。为了进一步节省扫描时间，还对如何利用数字波束形成（ Ｄ Ｂ Ｆ） 技术实现优化进行了探讨。     

ESA’s process for the identification and assessment of high-risk conjunction events

ESA’s Space Debris Office provides an operational service for the assessment of collision risks of ESA satellites. Currently, the ENVISAT and ERS-2 missions in low Earth orbits are covered by this service. If an upcoming high-risk conjunction event is predicted based on analysis of Two-Line Element (TLE) data from the US Space Surveillance Network, then independent tracking data of the potential high-risk conjunction object are acquired to improve the knowledge of its orbit. This improved knowledge and the associated small error covariances derived from the orbit determination process scale down the position error ellipsoid at the conjunction epoch. Hence, for the same miss-distance, in most cases an avoidance manoeuvre can be suppressed with an acceptable residual risk.     

Developing a dust storm detection method combining Support Vector Machine and satellite data in typical dust regions of Asia

Enhancing the dust storm detection is a key part for the environmental protection, human healthy and economic development. The goal of this paper is to propose a new Support Vector Machine (SVM)-based method to automatically detect dust storms using remote sensing data. Existing methods dealing with this problem are usually threshold-based that are of great complexity and uncertainty. In this paper we propose a simple and reliable method combining SVM with MODIS L1 data and explore the optimal band combinations used as the feature vectors of SVM. The developed method was evaluated by MODIS and OMI data qualitatively and quantitatively on three study sites located in the Arabian Desert, Gobi Desert and Taklimakan Desert, and it was also compared to three other traditional methods based on their accuracy, complexity, reliability and sensitivity to thresholds. The detection results demonstrated that the combination of (Band7 − Band3)/(Band7 + Band3) ((B7 − B3)/(B7 + B3)), Band20 − Band31 (B20 − B31), and Band31/Band32 (B31/B32) can detect the dust storms more precisely than other individual bands or their combination. The comparison among those cases indicated that the proposed automatic method exhibited an advantage of minimizing the uncertainty and complexity, which were the limits of defining thresholds based on the threshold-based methods. The conclusions can provide references for studies that focus on statistical-based dust storm detection.