Solar Wind Electron Proton Alpha Monitor (SWEPAM) for the Advanced Composition Explorer

The Solar Wind Electron Proton Alpha Monitor (SWEPAM) experiment provides the bulk solar wind observations for the Advanced Composition Explorer (ACE). These observations provide the context for elemental and isotopic composition measurements made on ACE as well as allowing the direct examination of numerous solar wind phenomena such as coronal mass ejections, interplanetary shocks, and solar wind fine structure, with advanced, 3-D plasma instrumentation. They also provide an ideal data set for both heliospheric and magnetospheric multi-spacecraft studies where they can be used in conjunction with other, simultaneous observations from spacecraft such as Ulysses. The SWEPAM observations are made simultaneously with independent electron and ion instruments. In order to save costs for the ACE project, we recycled the flight spares from the joint NASA/ESA Ulysses mission. Both instruments have undergone selective refurbishment as well as modernization and modifications required to meet the ACE mission and spacecraft accommodation requirements. Both incorporate electrostatic analyzers whose fan-shaped fields of view sweep out all pertinent look directions as the spacecraft spins. Enhancements in the SWEPAM instruments from their original forms as Ulysses spare instruments include (1) a factor of 16 increase in the accumulation interval (and hence sensitivity) for high energy, halo electrons; (2) halving of the effective ion-detecting CEM spacing from ∼5° on Ulysses to ∼2.5° for ACE; and (3) the inclusion of a 20° conical swath of enhanced sensitivity coverage in order to measure suprathermal ions outside of the solar wind beam. New control electronics and programming provide for 64-s resolution of the full electron and ion distribution functions and cull out a subset of these observations for continuous real-time telemetry for space weather purposes. This revised version was published online in June 2006 with corrections to the Cover Date.     

EXPERIMENTAL INVESTIGATION ABOUT THE UNSTEADY AERODYNAMIC CHARACTERISTICS OF WINGS

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涡轮叶栅叶型损失的数值模拟方法

给出了一个计算亚、跨音涡轮叶栅叶型损失的数值计算方法。主流采用时间推进有限体积法求解积分型欧拉方程,并采用了局部网格修正技术;附面层采用全隐格式求解有限差分方程;在叶栅出口与远后方均匀流之间进行了叶片尾迹与主流的掺混损失计算。算例表明本文的数值方法可准确地预测涡轮叶栅的叶型损失。     

Effects of polarization and resolution on SAR ATR

Lincoln Laboratory is investigating the detection and classification of stationary ground targets using high resolution, fully polarimetric, synthetic aperture radar (SAR) imagery. A study is summarized in which data collected by the Lincoln Laboratory 33 GHz SAR were used to perform a comprehensive comparison of automatic target recognition (ATR) performance for several polarization/resolution combinations. The Lincoln Laboratory baseline ATR algorithm suite was used, and was optimized for each polarization/resolution case. Both the HH polarization alone and the optimal combination of HH, HV, and VV were evaluated; the resolutions evaluated were 1 ft/spl times/1 ft and 1 m/spl times/1 m. The data set used for this study contained approximately 74 km/sup 2/ of clutter (56 km/sup 2/ of mixed clutter plus 18 km/sup 2/ of highly cultural clutter) and 136 tactical target images (divided equally between tanks and howitzers).     

空间环境下的有机热控涂层

本文综述了国外在空间有机热控涂层领域中的研究工作和试验，着重分析了空间极端环境中紫外光辐照和原子氧侵蚀这两大因素对有机热控涂层的影响。     

飞机结构环境谱初探

本文给出环境谱的定义及编谱的基本方法。对总体气候/化学环境因素的分布和随时间变化的规律进行了探讨。统计分析了我国各气候区和飞机典型使用地区的总体环境,提供了气温、湿度、太阳辐射、二气化硫,海水盐度及盐雾等国内实测数据。     

单室双推力固体火箭发动机两级推力的最佳选择

从理论上探讨了单室双推力固体火箭发动机中影响其两级推力的主要因素。建立了导弹/发动机一体化设计的优化模型,对一种推进剂实现双推力,双燃速推进剂实现双推力两种情况分别进行了计算和分析。求出了使导弹射程达到最大,又能够在设计中实现的最佳推力方案。     

高超音速后掠激波与边界层干扰流场特性

应用表面油流和液晶温度显示、表面热流率和压力测量四种测试技术,在Ma_∞=7.8、单位长度雷诺数尺Re_∞=3.5×10~7/m条件下,研究了30°迎角尖前缘翼面诱导激波和湍流边界层干扰流场特性。结果表明:表面流动是准锥型,在强相互作用下,流动发生了二次分离和再附,导致表面油流线的流向角、温度、热流率和压力分布均出现明显的凹坑。     

惯性导航系统各种传递对准方法讨论

 本文按对准基本原理将惯性导航系统各种传递对准方法分为两大类,一类可称为计算参数匹配法,它包括速度匹配和位置匹配;另一类可称为测量参数匹配法,它包括加速度匹配、姿态匹配和角速度匹配。文中详细讨论了这两类方法的性质,指出:计算参数匹配法类似静基座自对准和空间率对准,在载体无机动动作时对准时间较长。测量参数匹配法对准时间短,但受载体挠性变形的影响大。     

Frequency estimation techniques for high dynamic trajectories

A comparison is presented of four different estimation techniques applied to the problem of continuously estimating the rapidly varying parameters of a sinusoidal signal, observed in the presence of additive noise. Frequency estimates are emphasized, although phase and/or frequency rate are also estimated by some of the algorithms. These parameters are related to the velocity, position, and acceleration of the maneuvering receiver or transmitter. Estimated performance at low carrier-to-noise ratios and high dynamics is investigated for the purpose of determining the useful operating range of an approximate maximum likelihood estimator, an extended Kalman filter, a cross-product automatic frequency loop and a phase-locked loop. Numerical simulations are used to evaluate performance while tracking a common trajectory exhibiting high dynamics