基于RBF网络的惯导系统初始对准

建立了惯导系统（ＩＮＳ）初始对准的线性和非线性误差模型。分析了径向基函数（ＲＢＦ）网络的结构和工作原理。研究了ＲＢＦ网代替初始对准中的卡尔曼滤波器的实现方法。通过仿真表明，用神经网络进行初始对准，既可获得与卡尔曼滤波相同的对准精度，又提高了系统的实时性。     

Representing a stable environment by egocentric updating and invariant representations

To represent a stable environment despite the experience of changes during self movements, one can either develop an invariant allocentric representation, or update the egocentric representations as one moves. Using a disorientation paradigm, three sets of studies investigated these mechanisms in human navigation and scene recognition. Accuracy in the configuration of multiple object localization is impaired by disorientation, an effect not due to artifacts such as memory deterioration over time, intervening physical activities, uncertainty in self position and orientation, etc., suggesting one can locate objects primarily by updating their egocentric positions as she or he moves. Disorientation also impaired the judgment of changes to a scene after viewer movements, suggesting a similar egocentric updating process. On the contrary, representation of the shape of the surroundings is invariant and persists through disorientation. The coexistence of multiple mechanisms may increase the flexibility and robustness of the system.     

Geometric reasoning under uncertainty for map-based localization

Map-based navigation in outdoor terrain lacking man-made structures or other highly distinctive landmarks can produce severe localization problems. This paper presents an approach to navigation which implements high level geometric reasoning and matching strategies based on those used by skilled human navigators. This approach, which is demonstrated on a real example involving imagery of mountainous terrain obtained with a video camera and USGS map data, is designed to avoid many of the pitfalls occurring when an attempt is made to navigate by modeling the environment mathematically. It exploits feature attributes which cannot be easily expressed quantitatively but are central to the successful human navigation process.     

应用联合变换相关器的成像制导系统

提出了一种光电混合的成像制导系统，它采用光学联合变换相关器作为其主要的图像识别单元，利用计算机对识别结果进行判决和显示，并发出跟踪信号给导引头，从而实现制导。联合变换相关器是对光学图像信号进行并行处理的器件，实时识别性能强，精度高。此成像制导系统克服了传统的红外制导系统易受外界因素影响，实时处理能力差，误判率较高的缺点，具有并行处理速度快、信息吞吐量大、体积小等优点，应用前景广阔。     

运载火箭增压输送系统启动过程的数字仿真研究

应用现代计算机仿真技术，在大量发动机试车数据和长征火箭各型号飞行遥测数据等的分析、统计基础上，建立新的增压输送系统启动过程的数学模型，进行了数字仿真研究。计算结果与各型号的飞行遥测相一致，大大减少了理论计算的误差，提高了增压计算的精确度，具有实际的意义。     

捷联式定位定向系统中动力调谐陀螺误差实时补偿

恶劣的工作环境给进一步提高捷联系统的性能带来了较大的困难，究其所有误差源，系统中的动力调谐陀螺误差对系统的精度影响较大。为此，本文主要对“捷联式定位定向系统”中动力调谐陀螺的误差作分析与研究。本文结合“捷联式定位定向系统”的特点，对动力调谐陀螺的主要漂移误差进行了分析，接着根据推得的动力调谐陀螺的静态、动态误差模型，提出了相应的误差补偿算法，并设计了误差实时补偿软件。最后经仿真计算，证明其补偿效果较好。     

HP8902A自动检定系统的研制

介绍了以HP8902A测量接收机为主构成信号源、调制测量仪等仪器的自动检定系统，详细讲述了该系统的构成和软件的实现。     

带滑移铰空间机械臂惯性空间轨迹的复合自适应跟踪控制

讨论了载体的位置与姿态均不受控制的漂浮基带滑移铰空间机械臂的控制问题。动力学分析表明，结合系统动量及动量矩守恒关系得到的运动Jacobi关系及系统动力学方程将是系统惯性参数的非线性函数，借助于增广变量法，我们得到了与惯性参数呈线性关系的系统广义Jacobi矩阵及系统控制方程，以此为基础，针对系统中存在未知惯性参数的情况，设计了一种末端抓手惯性空间期望轨迹跟踪的复合自适应控制方案，此控制方案的优点在于不需要测量空间机械臂载体的位置及移动的速度，加速度，仿真运算证实了方法的有效性。     

SPACE LIFE SCIENCE IN 2000-2001

Chinese scientists studied some of the problems in the field of space life science and achieved success in the area during 2000-2001. Space biological experi ments were carried out in the orbit and the results of ground studies on protein crystallization, space radiation, space motion sickness were introduced in this paper. The influences of simulated weightlessness on the brain-function, the car diovascular, endocrine hormones, immunity, skeletal and muscle systems were presented. In addition, gravity medicine and space environment medicine, as well as countermeasures to space deconditioning, such as the traditional Chinese medicine, were also reported.     

微波噪声校准系统介绍

新的．极低噪声放大器的研制开发和广泛使用，微波系统的结构日趋复杂，微波工程测量能力下断提高，但热噪声仍然是今天微波系统性能的主要限制。例如，远距离卫星通信工程对卫星转发器的接收机和地球站接机的噪声特性提出很高的要求。因此，准确地测量系统的噪声以及时噪声发生器进行准确校准的需求非常迫切。本文叙述自己研制的噪声源校准系统的基本原理，分析超噪比校准不确定度，提供具体的校准实例，提出进一步提高校准准确度的途径。