一种应用于超小型无人机的新型定高传感器

使用美国ICSENSOR公司的压阻硅式绝压传感器，对静压进行测量，并设计出适合超小型无人机使用的新型定高传感器，这种定高传感器具有灵敏度高，重量轻，单电源供电，板式结构。可靠性高，重复性好的特点，填补了应用于超小型无人机的定高传感器产品的空白。     

Almost instant time inference for hybrid partially dynamic Bayesian networks

A Bayesian network (BN) is a compact representation for probabilistic models and inference. They have been used successfully for many military and civilian applications. It is well known that, in general, the inference algorithms to compute the exact a posterior probability of a target node given observed evidence are either computationally infeasible for dense networks or impossible for general hybrid networks. In those cases, one either computes the approximate results using stochastic simulation methods or approximates the model using discretization or a Gaussian mixture model before applying an exact inference algorithm. This paper combines the concept of simulation and model approximation to propose an efficient algorithm for those cases. The main contribution here is a unified treatment of arbitrary (nonlinear non-Gaussian) hybrid (discrete and continuous) BN inference having both computation and accuracy scalability. The key idea is to precompile the high-dimensional hybrid distribution using a hypercube representation and apply it for both static and dynamic BN inference. Since the inference process essentially becomes a combination of table look-up and some simple operations, the method is shown to be extremely efficient. It can also he scaled to achieve any desirable accuracy given sufficient preprocessing time and memory for the cases where exact inference is not possible     

Performance evaluation for MAP state estimate fusion

This paper presents a quantitative performance evaluation method for the maximum a posteriori (MAP) state estimate fusion algorithm. Under ideal conditions where data association is assumed to be perfect, it has been shown that the MAP or best linear unbiased estimate (BLUE) fusion formula provides the best linear minimum mean squared estimate (LMMSE) given local estimates under the linear Gaussian assumption for a static system. However, for a dynamic system where fusion is recursively performed by the fusion center on local estimates generated from local measurements, it is not obvious how the MAP algorithm will perform. In the past, several performance evaluation methods have been proposed for various fusion algorithms, including simple convex combination, cross-covariance combination, information matrix, and MAP fusion. However, not much has been done to quantify the steady state behavior of these fusion methods for a dynamic system. The goal of this work is to present analytical fusion performance results for MAP state estimate fusion without extensive Monte Carlo simulations, using an approach developed for steady state performance evaluation for track fusion. Two different communication strategies are considered: fusion with and without feedback to the sensors. Analytic curves for the steady state performance of the fusion algorithm for various communication patterns are presented under different operating conditions.     

1/spl phi/ 3W grid-connection PV power inverter with partial active power filter

This paper presents a single-phase three-wire (1/spl phi/ 3W) grid-connection photovoltaic (PV) power inverter with a of partial active power filter (PAPF) feature, which can not only deal with PV power but filter current harmonics and improve power factor. Once the processed power exceeds the switch ratings, the inverter can reduce its output reactive power and harmonic power, while still supplying the maximum real power generated by the PV arrays. In the derivation of control laws, a limit circle is defined to confine the output power of the inverter. To determine the power that the inverter can process, the instantaneous reactive power of a 1/spl phi/ 3W system is defined and used to calculate reactive power, which can avoid complex detections of phase angle and magnitude of the fundamental component of a nonlinear load current. Simulation results and experimental measurements have verified the proposed algorithm and the feasibility of the inverter.     

光学中心偏测量仪软件研制

文章介绍了北京空间机电研究所自行研制的光学中心偏测量仪的软件设计思路、工作原理 ,并对一些关键技术进行了讨论。     

雷达数据处理系统中网络安全与管理分析

一、引言 雷达数据处理系统（RDP）是航管雷达系统中最为重要的组成部分之一。它的主要功能包括：飞行目标点迹处理、跟踪功能；目标冲突告警处理（STCA）和低高度告警处理（MSAW）；结合飞行计划报（FPL）数据完成航班自动化处理功能；完成视频显示功能以及多雷达数据综合处理功能。现代工程中的自动化处理系统已将雷达数据处理系统与终端显示系统合成。     

开放式飞行任务规划方法

本文给出了一种基于分布式黑板结构的开放式飞行任务规划方法，简要叙述了飞行器飞行任务规划的概念和其独特要求，并对飞行任务规划的数据预处理、知识表达、规划方法作了深入的探讨。最后介绍了分布式黑板的结构和运行方式。     

空间相机中与大口径透镜有关的结构设计分析

某空间相机镜头在光学设计时，因透过率、吸收率等原因，为了满足光学系统要求，经过各方面平衡后，其中有一片透镜比正常径厚比设计的偏薄些。在镜头总体结构设计时，单独对该镜片及与之相配的结构件进行了有限元分析和实验检测，发现不同的结构形式对镜片面形影响不同。为了解决这一问题，在实验中进行了探讨，以保证整个相机系统满足空间相机的实用要求。     

便携式红外寻的防空导弹——部位安排与结构

通过对部位安排原则的讨论，结合实例，介绍该类导弹常见的部位安排形式。通过地体制和任务的分析，归纳出该类导弹结构上的特点，列举出反映辽些特点的具体结构实例。     

大时延力反馈遥操作系统的PID控制

如何保证稳定性和透明性是时延力反馈遥操作系统面临的主要问题.本文把最简单的PID控制应用于这类系统,由绝对稳定的莱威林准则和电路阻尼理论推导出保系统稳定性和透明性的参数约束条件.最后进行实验验证,在时延6秒的情况下完成了硬结触曲面跟踪任务.理论分析和实验都表明这种方法能保证系统的稳定性和透明性.