星载GPS地球静止轨道卫星自主定轨的新算法

针对地球静止轨道卫星的特点，提出了一种自主定轨的新算法——积分滤波算法，即利用Kalman滤波进行动力学模型数值积分与GPS定轨的有效融合。讨论了该算法的基本过程及其中Kalman滤波的数学模型和重要参数。最后给出了仿真实验过程和结果，证明了该算法的可行性。     

GNSS/INS integration: still an attractive candidate for automatic landing systems?

During the last years, the International Symposia on Precision Approach and Automatic Landing (ISPA) have shown a considerable change in the significance of integrated landing systems. At the first ISPA conference in 1995, the combination of inertial sensors and GNSS receivers was thoroughly discussed and appeared to be a very promising concept, especially with respect to ‘Integrity’ and ‘Continuity’. Ever since, this particular combination of sensors has received little attention. A comprehensive discussion of the technical background of this setback for integrated landing systems did not take place, primarily because of the popular opinion that the Kalman filter algorithm, which is the system integration kernel, is not sufficiently stable. The true reason has meanwhile been identified. The aiding of an inertial navigation system by only one GNSS antenna is insufficient in phases of low aircraft dynamics such as in the case of final approach. Instead, a multi-antenna system is required with antennas widely distributed over the aircraft structure. This latter approach, however, causes problems due to structural flexibilities. To show that an integrated system based on inertial sensors and widely distributed GNSS antennas is technically feasible, the paper discusses the following topics. (1) Unstable system performance during final approach for 1-antenna-aiding. (2) Improving the system performance prior to using additional antennas. (3) Effect of the antenna distribution. (4) Integrated systems for distributed sensors and flexible aircraft structures. The paper shows that integrated systems are still an attractive candidate for automatic landing equipment preserving the advantages with respect to ‘Integrity’ and ‘Continuity’.     

基于UKF的GPS非线性动态滤波算法

介绍了一种Unscented卡尔曼滤波算法，它通过确定性采样获得一组采样点，可获得更多的观测假设，对系统状态统计特性的估计更加准确，同时该算法无需对系统方程进行线性化，避免了传统的EKF算法由于线性化引入的误差。本文将UKF算法用于GPS非线性动态滤波技术中，建立了仿真模型并定义了仿真条件，与EKF算法的仿真结果相比，在系统状态统计特性未知的情况下，UKF算法对系统状态的估计更准确，定位精度更高。     

On the Observed Intensity Filtering in the Anisotropic Distribution Modelling of Macroseismic Intensity

The anisotropic modelling of intensity distribution, affected by the construction of macroseismic planes, allows an analysis of the influence of each point of observed intensity on the analytical determination of epicenter and of the principal attenuation directions. Such a procedure is a vital aid in the cases in which the observed intensity points, that, for location or joined intensity level, are not consistent with an anisotropic model of intensity attenuation. A suitable filtering on intensity levels associated with the points of the intensity map, for a better modelling of observed intensity distribution, is proposed with the aim of a better seismic hazard evaluation.     

卡尔曼滤波的初值计算方法及其应用

文章从气象应用角度论述了卡尔曼滤波在天气预报业务系统中应用的理论原理和计算方法。介绍了不同季节的试验结果，并分析了卡尔曼滤波的适应数值模式变化的能力和它的稳定性、可用性，展示了它的优越性和应用前景。     

Estimation for rainfall-runoff modeled as a partially observed Markov process

Abstract: Linear continuous time stochastic Nash cascade conceptual models for runoff are developed. The runoff is modeled as a simple system of linear stochastic differential equations driven by white Gaussian and marked point process noises. In the case of d reservoirs, the outputs of these reservoirs form a d dimensional vector Markov process, of which only the dth coordinate process is observed, usually at a discrete sample of time points. The dth coordinate process is not Markovian. Thus runoff is a partially observed Markov process if it is modeled using the stochastic Nash cascade model. We consider how to estimate the parameters in such models. In principle, maximum likelihood estimation for the complete process parameters can be carried out directly or through some form of the EM (estimation and maximization) algorithm or variation thereof, applied to the observed process data. In this research we consider a direct approximate likelihood approach and a filtering approach to an algorithm of EM type, as developed in Thompson and Kaseke (1994). These two methods are applied to some real life runoff data from a catchment in Wales, England. We also consider a special case of the martingale estimating function approach on the runoff model in the presence of rainfall. Finally, some simulations of the runoff process are given based on the estimated parameters.     

交会法测量多弹道方法研究

本文给出了用交会法测量多管高炮连发炮弹弹道的方法。此方法以最邻近相关原则进行同名点判定，通过三维坐标变换从交会得出的点集合中提取炮弹轨迹。     

小波滤波器及遥感影像分类

基于正交小波变换的特征,研究了小波滤波器的长度对影像分类的影响。并在不同滤波器长度下,对22幅遥感地貌纹理影像进行了分类试验,获得了较高的分类正确率。     

卡尔曼滤波可靠性分析及其在动态GPS定位中的应用

从预测残差入手，通过假设检验，给出了卡尔曼滤波内外可靠性量度，并将其和模型偏差分离估计递推公式引入ＧＰＳ动态定位之中。通过对ＷＡＤＧＰＳ用户站的动态数据处理得到了一些结论。     

二维高分辨自动地电阻率探测地下洞穴技术

高分辨地电阻率系统主要用于地下洞体探测。采用单极－偶极连续二维剖面观测，地采集的资料应用目标异常匹配滤波法或交汇法再现地下异常体形象。