一种高亚音速弹用S弯进气道设计及其特性

针对导弹进气道的结构特点,在前人的工作基础上总结出一种适合导弹使用的大偏距、短扩压S弯进气道的设计方法。该方法通过变更中心线、面积规律、唇口形状和喉道位置等参数完成进气道的设计。应用本文中使用的S弯进气道的数学描述方法,可以方便地完成S弯进气道的几何造型工作,实现此类导弹用S弯进气道的参数化设计,生成的造型数据也可以为CFD和CAM使用。此外,作为验证,文中应用此方法设计了一个椭圆进口的S弯进气道,并进行了模型的风洞实验。实验结果表明,使用本文方法设计的弹用S弯进气道可以达到较好的气动性能,能够满足应用需要。     

金属载体上线天线阻抗与辐射特性的矩量法研究

用线网格模拟金属载体表面,应用矩量法求出天线及载体网格上的电流分布,据此研究在该金属载体影响下的天线特性,在计算阻抗矩阵元素时,利用了非对称正弦偶极子辐射场的精确表达式,并采用了直接复数积分,简化了计算公式,本文给出了几种金属载体上线天线的阻抗与辐射特性的计算结果,它们与有关文献上的数据或实验结果一致,最后计算了一种舰船简单模型上两根线天线的远区辐射场及它们的自阻抗与互阻抗。     

An alternate algorithm for discrete-time filtering

The discrete-time Kalman filter is an optimal estimator for the states of a linear, stochastic system. It assumes that measurements are linear combinations of the states, and all disturbances are Gaussian. The influence diagram, a decision analysis tool that provides an algorithm for discrete-time filtering equivalent to the Kalman filter when the influence diagram represents Gaussian random variables, is discussed. The influence diagram algorithm is a factored form of the Kalman filter, similar to other factored forms such as the U-D filter. Compared with the Kalman filter, it offers improved numerical properties. Compared with other factored forms, it offers a reduced computational load     

Ion Acoustic Waves in the Heliosphere

Observations of ion acoustic waves in the solar wind during the first and second orbit of the Ulysses spacecraft are presented. The observations show variations of the wave activity with the heliolatitude and with the phase of the solar cycle. The interrelationships between the wave intensity and the electron heat flux and the ratio of electron to proton temperature, T _e/T _p, are examined. This revised version was published online in August 2006 with corrections to the Cover Date.     

Characterization of Kalman filter residuals in the presence ofmismodeling

The mean and covariance of a Kalman filter residual are computed for specific cases in which the Kalman filter model differs from a linear model that accurately represents the true system (the truth model). Multiple model adaptive estimation (MMAE) uses a bank of Kalman filters, each with a different internal model, and a hypothesis testing algorithm that uses the residuals from this bank of Kalman filters to estimate the true system model. At most, only one Kalman filter model will exactly match the truth model and will produce a residual whose mean and standard deviation have already been analyzed. All of the other filters use internal models that mismodel the true system. We compute the effects of a mismodeled input matrix, output matrix, and state transition matrix on these residuals. The computed mean and covariance are compared with simulation results of flight control failures that correspond to mismodeled input matrices and output matrices